Artificial Intelligence In Business

Artificial Intelligence In Business
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C O N T E N T S:

KEY TOPICS

  • The big data and analytics market continues to morph as Artificial Intelligence (AI) fields, such as machine learning and deep learning, provide new ways to generate business insights.(More…)
  • The program, enabled by artificial intelligence (AI), helps pinpoint customers who require further scrutiny.(More…)
  • How will AI impact our businesses, our economy, and our lives?(More…)
  • Fortunately, advances in Natural Language Understanding and other artificial intelligence (AI) technologies like machine learning are creating digital opportunities to do just that.(More…)
  • This site also provides data scientists, artificial intelligence engineers, machine learning practitioners and other AI technology users with expert content to guide the deployment and management of AI technologies across an existing infrastructure.(More…)

POSSIBLY USEFUL

  • As more and more data is produced from technologies like the IoT and virtual reality devices, AI and automation will be essential in not only managing that data, but also in supporting the increased strain on business networks.(More…)
  • A Forrester Data Infographic reveals that business technology decision makers – or people making technology decisions who work in roles outside of IT – are big proponents of incorporating AI technology into their businesses.(More…)
  • Businesses of all sizes can use AI to make a business impact right now.(More…)

RANKED SELECTED SOURCES

KEY TOPICS

The big data and analytics market continues to morph as Artificial Intelligence (AI) fields, such as machine learning and deep learning, provide new ways to generate business insights. [1] Businesses of all shapes and sizes are considering artificial intelligence to solve real business problems. [2] How is artificial intelligence changing the business intelligence landscape? originally appeared on Quora : the place to gain and share knowledge, empowering people to learn from others and better understand the world. [3]

That’s the prevailing thought around artificial intelligence and how it is being applied through machine learning as we head into 2018, and while there are still plenty of unknowns surrounding what AI can do, smart minds agree that its impact on society and business will be substantial. [4] Due to its deep learning and independent decision-making capabilities, artificial intelligence (AI) is expanding in different business areas. [5] Here are 5 applications of artificial intelligence that you can implement in different business areas. [5] Artificial intelligence continues to be a hot topic in the technology space as well as increasing its inception into other realms such as healthcare, business, and gaming. [6] Today business across the globe are leveraging artificial intelligence to optimize their process and reap higher revenues and profits. [6]

Artificial intelligence in business brings AI benefits – and challenges – into business areas including marketing, customer service, business intelligence, process improvement, management, and more. [7] Narrative Science reports that 38% of businesses surveyed feel that providing predictions on customer, machine and business health is the most important service that artificial intelligence technology can provide. [8] In today’s Part 2, Piatetsky-Shapiro notes some artificial intelligence concerns as it continues to advance and how business should approach incorporating AI. [9] Artificial intelligence is expected to transform how companies in almost every industry do business. [10] You can?t afford to ignore the opportunities presented by utilizing artificial intelligence technologies in your business. [8] InfoSys in its survey report Amplifying Human Potential: Towards Purposeful Artificial Intelligence reported that the most popular AI technologies for business were big data automation, predictive analysis, and machine learning. [7] Artificial intelligence can be used to greatly improve your business. [11] Here are three ways artificial intelligence can transform your small business. [12] Business Intelligence is a technology that is used to gather, store, access and analyzes data to help business users in making better decisions, on the other hand, Artificial Intelligence is a way to make a computer, a computer-controlled robot, or a software that think intelligently like humans. [13]

Gartner?s e-book provides actionable insights and advice to create and implement a plan for artificial intelligence in the enterprise, make the business case to the c-suite and the board, and build the right AI data. [14] Digital business is accelerating interest in artificial intelligence (AI) at a pace that has left many CIOs hurrying to build an AI strategy and investment plan appropriate for their enterprise. [14] CIOs are in the perfect position to educate their company?s CEO and board about recent developments in artificial intelligence and show how AI might influence their business and competitive landscape. [14] If I told my dad about an artificial intelligence (AI) project working to cure cancer, he’d be intrigued, but it would change nothing about how his business runs. [15] Artificial Intelligence will help e-commerce businesses to solve business challenges with timely intelligence. [16] When thinking about how to grow your business using AI or how artificial intelligence can make an impact on your business, ask if you can integrate with or enhance your current product and services with AI features or technology. [17] The first thing to think about when considering the impact of artificial intelligence in business is to consider your customer. [17] Artificial intelligence is changing the overall face of interacting with customers, but the important question to ask is how it is changing the face of business both online and offline. [16] A McKinsey & Company survey found that while 40 percent of companies are contemplating the use of artificial intelligence in business, only 20 percent have adopted it. [15] The use of artificial intelligence in business applications is not science fiction. [15] The use of artificial intelligence in business holds great potential, but for many entrepreneurs, it is quite new and doesn’t know the power of it. [16] Using artificial intelligence in business information can be a huge benefit. [17] There are business analysts who believe that artificial intelligence is already influencing the way the world is now conducting its business. [18] Another way that artificial intelligence is playing a role in business is behind the scenes. [17] This has been a guide to Artificial Intelligence vs Business intelligence, their Meaning, Head to Head Comparison, Key Differences, Comparision Table, and Conclusion. [13] The artificial intelligence tools are forming new opportunities for your business to stand out. [16] Timo Elliott is an Innovation Evangelist for SAP and a passionate advocate of innovation, digital business, analytics, and artificial intelligence. [19]

Are you interested in learning how to use Artificial Intelligence (AI) and Machine Learning (ML) to grow your business? If you’re like most people, you might be confused by all the hype around AI and ML. Fear not I’m working to de-mystify AI and to show people some excellent ways they can put AI to use for their businesses. [20] At the moment, AI in business is having its biggest impact on data-intensive industries, because the technology allows people to make more informed decisions, believes Joshua Gans, a professor at the University of Toronto and author of Prediction Machines: The Simple Economics of Artificial Intelligence. [21] In order to successfully integrate Artificial Intelligence (AI) into your existing business data, get ready to think about infrastructure, context, training your staff and much more. [22] “There’s a lot of fear of AI in business taking jobs, but let’s look at Facebook as an example,” adds Ben Plomion, CMO of GumGum, an artificial intelligence company. [21] Incorporating artificial intelligence into your business systems and processes is a journey unlike any other digital technology implementation. [23]

“Artificial Intelligence is at the centre of our plans to make the UK the best place in the world to start and grow a digital business. [24] Artificial intelligence (AI) is effectively an umbrella term to describe processes of intelligent automation, like machine learning, natural language processing (NLP), cognitive computing and deep learning. [24] When it comes to manufacturing, artificial intelligence is beginning to and will “touch each and every stage of the supply chain, whether it be the logistics, manufacturing or maintenance of goods,” explains Graeme Wright, chief technology officer for manufacturing, utilities and services at Fujitsu. [24] Artificial intelligence can help health care service providers with better tools for early diagnostics. [2] Organizations are already using artificial intelligence to make practical decisions. [2]

The time has come to make technology decisions around AI, but with so much market hype, most companies don’t know where to begin or how to apply artificial intelligence in business. [25] In a Harvard Business Review article this month, ” Artificial Intelligence for the Real World,” Thomas H. Davenport and Rajeev Ronanki identify three types of AI: process automation typically for back-office administrative and financial activities; cognitive insight, which the authors call “analytics on steroids” for detecting patters in vast data sets; and cognitive engagement, such as chatbots and intelligent agents. [26] The content on this site will also keep you up to date on emerging business uses for AI, while providing a grounded view of artificial intelligence technologies, how to determine ROI, information to guide your build-or-buy decision-making process, AI pros and cons, and enterprise use cases. [25] Enterprise leaders will find editorial content that helps to evaluate how to apply artificial intelligence in business and the ways in which AI can be used to add business value in specific ways. [25] The Techonomy article titled Artificial Intelligence May Change the Face of Business promises that AI will help to enhance the capabilities of a human Business Analyst. [27] That said, the artificial intelligence in business today is typically ” weak ” AI — a category which includes machine learning, natural language processing and applications such cloud-based chatbots, predictive reporting, optimizing operations and automation. [25] AI benefits in Business: Artificial intelligence is an integration process in between cloud computing, network devices, robots, computer, and digital content production and in various business processes, systems, and daily life operations. [28] For many, artificial intelligence (AI) stirs images of a futuristic cyborg (like the one pictured above), but business people know that the groundbreaking technology is here today. [26] Eight insights to shape your AI business strategy The real artificial intelligence “jobs issue” – plus seven more trends you shouldn’t ignore. [29] AI advances that will have the most impact (infographic) Artificial intelligence is front and center, with business and government leaders pondering the right moves. [29] Artificial intelligence (AI) has the potential to make business travel much easier. [30] All businesses and companies should integrate their business transactions or business operations details with Artificial intelligence application. [28] Artificial intelligence method looks that it will make businesses successful when it?s implemented in each process and business operations from idea to production, branding to marketing, selling to feedbacks and even ITR/GST etc. TAX system. [28] The article titled Artificial Intelligence Human Data Analyst states that the BA in the new Artificial Intelligence workplace will sufficiently mitigate the global challenge of supply-side shortages in the field of Business Analysis. [27] This is possible and 90% times it?s accurate with the help of machine learning, artificial intelligence, and business intelligence applications. [28] These instruments are Artificial intelligence Application that worked only on one Unique Business ID, product code scanning machine. [28] In MGI’s survey of 3,000 “AI-aware” C-level executives, 20% said they use some type of artificial intelligence technology at scale or in a core part of their business. [25] There are lots of examples and transformation going through artificial intelligence business system and processes in developed countries and big companies. [28] Consider these hurdles when you?re assessing the value of artificial intelligence in business, particularly as it relates to analytics and business intelligence. [31] We hope you find this site to be a valuable resource as you begin to apply artificial intelligence in business, and we encourage you to reach out to our editorial staff with your own insights and suggestions. [25] These and many other fascinating insights are from the Boston Consulting Group and MIT Sloan Management Review study published this week, Reshaping Business With Artificial Intelligence. [32]

This course is meant for students who want to learn the basics of Artificial Intelligence (AI) and how AI is applied for business. [33] That?s what I mean an automatic process that small business owners, companies, and any person can use with the help of artificial intelligence. [28] Artificial intelligence is shaping the way individuals travel, especially for business. [30]

The program, enabled by artificial intelligence (AI), helps pinpoint customers who require further scrutiny. [34] Artificial intelligence (AI) is usually defined as “a part of computer science involving the computer software study focused on helping machines make practical decisions, solve problems and perform complex reasoning.” [35] Apple uses artificial intelligence software for facial recognition in the new iPhone X. And Apple is developing AI health care mobile apps. [36] Here?s how the use of artificial intelligence (AI) has developed over time and imp. [35] One key to the future of AI will be to make it easier for companies to forge ahead with artificial intelligence projects, say analysts. [36] Outside Silicon Valley, companies are dipping a tentative toe into AI. Surveys show that most companies plan to evaluate how artificial intelligence can make them better, whether in making sales forecasts, automating tasks now done manually, improving existing products or enabling new ones. [36] That definition inclines toward what experts consider “strong AI,” which focuses on artificial intelligence systems that are as much as flexible as the human brain when it comes to performance. [35] In recent years, countless well-known scientists and entrepreneurs have warned us of the urgent significance of artificial intelligence (AI), and how. [35] Artificial intelligence empowers businesses to act on consumer data to drive improvements throughout many areas of supply chain operations. [6] Artificial Intelligence technology provides a competitive edge to e-commerce businesses and is becoming readily available to companies of any size or budget. [6] Giant technology companies — which stand to benefit by both harnessing their own artificial intelligence applications and helping other companies make the leap — are immersed in it now. [36] Among other application areas, companies in the financial services industry have started utilizing artificial intelligence to detect fraudulent activity. [37] Just in its nascent stage, Artificial Intelligence is yet to showcase its most exceptional applications in the product and service industry. [37] As businesses, especially in the service sector industries, evolve from the basic transactional model of customer interaction to a more continuous engagement sequence, the role of IoT and artificial intelligence is rapidly gaining importance. [5] Now, advanced artificial intelligence technology can sharpen machines to become more context-aware in various situations and customer interactions across enterprises. [37] Employing artificial intelligence offers enterprises the opportunity to give customers more options at every point of interaction. [5]

How do you describe the analysis results in a way that everyone understands? This is precisely why we need Artificial Intelligence to reshape data into easy-to-understand insights at scale. [35] Artificial Intelligence will essentially take out all of the “worst” elements of every HR professionals job (mundane screening, time-consuming paperwork, and annoying data entry) as well as deliver powerful tools and insights are a bonus to make their work better. [6] Companies can run artificial intelligence apps on powerful computers rented by the hour to crunch massive quantities of data. [36] Artificial intelligence is likely to evolve at a more rapid pace than any other type of technological advance in human history as we’ve fully immersed ourselves in the swirl of data. [4] Human traders cannot compete with artificial intelligence when it comes to analyzing huge volume of data. [6] When combined with customer data and analytics, physical artificial intelligence removes friction from the customer experience. [6] Artificial intelligence software programs — essentially computer algorithms — analyze huge amounts of data to identify patterns and predict outcomes. [36] Artificial Intelligence will help businesses improve communication internally and externally by enabling individual personalization for each professional, allowing for enhanced focus and increased productivity. [6] Artificial Intelligence has dramatically improved the way businesses communicate with consumers. [5] Now, let’s understand how artificial intelligence impacts businesses. [35] Artificial intelligence is growing and service-sector companies, as well as their industrial counterparts, will move to integrate this technology into their mechanisms. [37] The fact that most non-tech companies need a helping hand getting into artificial intelligence also provides an opportunity for startups pushing into the enterprise market. [36] Manufacturing automation has been one of the earliest areas of application of robotics and artificial intelligence. [5] We reached out to some industry experts to share their outlook on the applications of artificial intelligence. [6] In this article, we take a look at the influence and applications of artificial intelligence in healthcare, mobility, and financial services. [37] Artificial Intelligence is typically used in software development so that a company can employ an integrated system of its own to work on. [37]

Wall Street analysts anticipate that AI tools will be integrated with existing big data, business intelligence and industry-specific enterprise software. [36] Thanks to leaps in AI, Business Intelligence tools offer powerful dashboards that give managers alerts and business insights they need for key decision-making. [38] AI, specifically, is gradually evolving into a key driver that shapes day-to- day business processes and Business Intelligence decision-making. [38] Investing in AI-powered business intelligence software can help companies break down data into manageable insights. [38]

How will AI impact our businesses, our economy, and our lives? While it?s easy to get swept up in the excitement and hype, it?s important to consider the impact that artificial intelligence technology may have. [8] While the AI Now Institute was founded this year at NYU to address the problem of incorporating values training in artificial intelligence, Piatetsky-Shapiro says he doesn?t think we should pretend there would be any guarantees about the way programs behave. [9] In their efforts to deploy and apply Artificial Intelligence (AI) in their organizations, many companies are facing certain challenges, lack of resources and skills being among the most significant ones. [39] In the not-so-distant future, artificial intelligence (AI) will be able to perform many jobs. [12] End 2017, in the scope of a survey on the changing role of the CIO, Gartner found that cybersecurity and artificial intelligence are perceived as important gamechangers in the way CIOs will do their job in a not so distant future. [40] Whether you?re excited, indifferent, or stocking a bunker with dry goods, there are a number of ways that your life is likely to be impacted by artificial intelligence in the coming years. [8] Considering that one of the most anticipated uses of artificial intelligence in the coming years is to create self-driving vehicles, those in the trucking industry may have a reason for alarm. [8] And, a clear majority of the people surveyed – 57% – reported concerns about the impact automated artificial intelligence will have on the world economy over the next 10 years. [8] As far as artificial intelligence projects are concerned it’s pretty much the same story as in all technologies with the additional fact that for many CIOs it is still relatively early days: move in a staged approach, from strategy and evaluation to implementation, deployment and learning the needed lessons to improve and for next stages. [40] Artificial intelligence and machine learning are often associated with tech giants like Google and Amazon that have created the most popular machine learning libraries and platforms. [11]

To benefit from the transformative value of AI today, it is important to understand that AI is composed of technology building blocks that, individually or combined, are advanced enough to add a degree of intelligence to applications that can lead to considerable business transformation. [39] Businesses also need to adopt big data analytics infrastructure for predictive and business intelligence AI applications. [7]

Even though we may be far from a time when computers can reproduce the human intelligence needed for more refined business analysis and recommendations, almost all high-value work performed by humans is amplified by more complex tools. [39] AI-enabled competitive intelligence involves powerful analytical capabilities that allow for instant identification of competitors’ product gaps, weaknesses and strengths which can be used to adjust your own business strategy and be never blindsided by the competitor’s actions. [11] Workflow automation coupled with business intelligence will save small businesses time and money while enabling them to stay competitive in the emerging data-driven economy. [11] Additional important drivers include business intelligence systems and neural networks for deep learning. [7]

In regards to the developments in the field of Artificial General Intelligence (AGI) – machine learning that is able to perform the same intellectual tasks that humans can – Piatetsky-Shapiro tends to side with entrepreneur Elon Musk and physicist Stephen Hawking. [9]

Due to the rising prominence of data in the corporate sector, new fields like Deep Learning and Artificial Intelligence (AI) have emerged as a disruptive trend in technology. [16] Some market leaders have moved further ahead by implementing advanced artificial intelligence (AI) technologies to facilitate the transition. [41] With artificial intelligence, marketers can automate loads of routine work, gather important data and spend the time to determine ways on how to increase customer satisfaction and revenue. [16] For instance, an investment bank can use Artificial Intelligence to automate human work of gathering data from different sources and perform an analysis to determine company?s profitability. [16] The use of artificial intelligence across the organizations and businesses has widespread and there is no stopping. [16] Artificial intelligence is hence the means of promoting products or services in a better way. [16] This will be greatly driven by the penetration of artificial intelligence across a broad area of the industry including retail demo service. [18] The increasing prevalence of sensors in machinery, vehicles, production plants, and other hard equipment spaces means physical equipment can be digitized and be monitored by artificial intelligence, a topic we’ve covered before in machine learning applications in industry. [42] Artificial Intelligence is based on the study that how human thinks, learn, decide and work in order to resolve an issue and then using the outcome of this study as a basis of developing intelligent software and systems. [13] The technology revolution led by deep learning and artificial intelligence has significantly improved the relationship between brands and consumers. [16] As the artificial intelligence is gaining hype, many of the small and big enterprises are looking forward to eliminating the cost and remain ahead of competitors. [16]

Based on our past interviews withs executives and investors in the field, we predict that business intelligence applications will be one of the fastest growing areas for leveraging AI technology over the next five to 10 years. [42] As AI has gained momentum, prominent application providers have gone beyond creating traditional software to developing more holistic platforms and solutions that better automate business intelligence and analytics processes. [42] It is all due to the ability of AI to develop more holistic platforms and solutions that automates business intelligence and analytics processes. [16]

What was once the realm of science fiction, AI in business intelligence is evolving into everyday business as we know it. [42] There are more than 400 native software connectors that let Domo collect data from third-party apps, which can be used to offer insights and give context to business intelligence. [42] It’s not a simple process for companies to incorporate machine learning into their existing business intelligence systems, though Skymind CEO and past TechEmergence podcast guest Chris Nicholson advises that it doesn’t have to be daunting. [42] The anticipated benefits of using machine learning platforms for business intelligence include infrastructure cost reductions and operational efficiency. [42]

Fortunately, advances in Natural Language Understanding and other artificial intelligence (AI) technologies like machine learning are creating digital opportunities to do just that. [23] Artificial Intelligence (AI) is becoming a vital tool for many of today’s businesses. [21] Artificial intelligence (AI) isn’t a part of the future of technology. [43] Artificial intelligence (AI) is one of the most commonly referenced terms by financial institutions (FIs) and payments firms when describing their vision for the future of financial services. [43] The White House recently held an Artificial Intelligence Summit to look at how AI will change the future of employment and, ultimately, the economy. [21] Over the recent decade, only a few technologies captured our attention quite as much as artificial intelligence (AI). [22] I first identified artificial intelligence way back in 1983 as one of 20 core technologies that would become powerful drivers of exponential economic value creation. [44] With a focus on personalization and human interaction, artificial intelligence is increasingly becoming a major player in customer service. [44] Major medical and pharmaceutical companies are already using artificial intelligence in a broad array of applications. [44] As this Stanford University study projects, by 2030 most metropolitan areas throughout the country will rely on artificial intelligence not only in combating crime but in “predictive policing” applications. [44] Artificial intelligence pinpoints areas of opportunity and delivers personal insights that drive innovation. [23] The financial services industry provides just one example of organizations employing artificial intelligence to both improve existing services as well as develop groundbreaking new products. [44] The potential of artificial intelligence also relates to its capacity for real-time analytics from the ever-increasing amount of Big Data, and the ability to accumulate vast amounts of data and information as they occur and interpret them with the goal of producing knowledge that is both meaningful and actionable. [44]

Businesses should think more holistically about the competitive advantages that can be reaped from thoughtful applications of AI in product and service development, sales enablement, enhancing customer experience, or capturing business intelligence that helps impact the bottom line.” [45] It also emphasizes which applications are most mature, provides recommendations of how FIs should approach using the technology, and offers examples of where FIs and payments firms are already leveraging AI. The report draws on executive interviews Business Intelligence conducted with leading financial services providers, such as Bank of America, Capital One, and Mastercard, as well as top AI vendors like Feedzai, Expert System, and Kasisto. [43]

This site also provides data scientists, artificial intelligence engineers, machine learning practitioners and other AI technology users with expert content to guide the deployment and management of AI technologies across an existing infrastructure. [25] Artificial intelligence (AI) technology is already revolutionizing certain workflows, changing how businesses approach previously manual processes. [31] Top 10 artificial intelligence (AI) technology trends for 2018 Learn about the artificial intelligence advances that will have the most impact. [29] According to the article titled How Artificial Intelligence Will Impact Accounting, KPMG made a formal announcement about working with IBM Watson, a formidable AI solution in investigative intelligence. [27] Each industry has roadblocks to AI adoption, largely based on their maturity level, according to a recent McKinsey & Company article, ” Artificial Intelligence: The Time to Act Is Now.” [26] Although the over-publicized, Year 2020 impact of Artificial Intelligence is under the human scanner, many of the surveyed respondents of the report believe that the newer technologies like Big Data, the Cloud, and Mobile Internet are the agents of change for the future workplace. [27] In the on-going debate over whether Artificial Intelligence, and its allied technology Machine Learning, can completely replace the human brain, many scientists are still not convinced that machines can be trained to both “think” and “feel” like humans. [27] Artificial intelligence technologies are already being implemented in large retail, supply chain, and financial and technology companies. [25] It?s easy with artificial intelligence method to calculate income, tax and pay directly without filing ITR. For example, each person has Aadhaar Card in this case bank details, insurance policies, RD, Fixed deposit and various other banking services used by a person is automatically saved in government data. [28] As Artificial Intelligence makes it easy to simulate human thinking and actions using “learning algorithms,” the future possibilities are endless. [27] Currently, we are using robots or artificial intelligence but we do not call this robotic operation or artificial intelligence application. [28] The biggest challenge now I think that how perfectly we can create products, applications, machines and all consumer products with the class integration of artificial intelligence in the program. [28] Similar to F1 help, through artificial intelligence it will be more powerful with chat option, FAQ according to user and recommendation based on application work history. [28] Government also needs to invest money to create artificial intelligence application to automate the tax system. [28] Customer support teams needs to acquire skills to predict, analyze, and create auto responder and problem solving method through artificial intelligence. [28] That?s why artificial intelligence, machine learning, and predictive analytics are in the demand to create sales management tools and effective B2C, B2B sales process that force automation pipeline. [28] Here are some important tools and example that help you to understand how artificial intelligence improving customer experience in low cost. [28]

AI is ready right now to automate complex processes, identify trends to create business value, and provide forward-looking intelligence. [29] All those hours that finance departments spend wading through data from ERP, payment processing, business intelligence, and other systems? AI will take care of that. [29]

Each one of us will become more powerful with artificial technologies, machine learning and cloud computing in Business. [28] Now small business owners have to start using trial versions of Artificial Intelligence-based sales, marketing, support, and management tools to understand how it will impact on their business positively and negatively. [28]

POSSIBLY USEFUL

As more and more data is produced from technologies like the IoT and virtual reality devices, AI and automation will be essential in not only managing that data, but also in supporting the increased strain on business networks. [24] AI and automation stands out from other technologies, in that it will help advance those other technologies into the mainstream business environment. [24]

Both IBM ?s Dinesh Nirmal and O?Reilly?s Ben Lorica said preparing data for mathematical models was the primary bottleneck for AI. Nirmal’s keynote focused on operationalizing AI. Nirmal described how real world machine learning reveals assumptions embedded in business processes and in the models themselves that cause expensive and time-consuming misunderstandings. [1] AI and automation is changing the business environment across industries, delivering new opportunities through intelligent, automated products. [24] Board members and decision-makers are increasingly aware of the benefits of AI and automation, but the question should always remain: “Is it right for my business? How does it solve a problem??. [24] “With networks powered by AI and machine-learning, the workplace becomes less tangled up in complexity and repetition, and more agile as a result; something that is greatly needed as our business world becomes increasingly borderless and far more competitive,” explains David Goff, head of Enterprise Networks at Cisco UK & Ireland. [24]

If this new AI-led business strategy is adopted in the right circumstances to solve the right problems, it will help businesses become better, faster and more agile than ever before – and allow them to overcome natural limitations. [24] Identify anomalies in the data that might be actionable and proactively alert a business person that action may need to be taken–even if they?ve never asked a question about that dataset in the past. [3] Regardless of what technology it is, business leaders need to identify a problem that needs fixing or identify how to improve systems and practices, in order to justify integrating something into operations. [24] With the general rise of this technology into business operations also comes challenges, dangers and potential risks to the human workforce. [24] Giving business users the opportunity to control new digital operating systems will be the key to the technology being used to its full potential.” [24] The retail business can map consumer behavior using AI. Utilities can use smart meters and smart grids to decrease power consumption. [2] The main priority for business leaders, concludes Redbond, “must be to democratise automation strategies across their organisation. [24]

If you are looking for ways to create efficiencies, disrupt your industry and innovate by leveraging the power of cognitive computing and AI, discover the Watson products and services that best meet your business needs. [46] Chatbots, in particular, are always on, delivering smart and flexible analytics through conversations on mobile devices using standard messaging tools and voice-activated interfaces.This dramatically reduces the time to collect data for all business users, thereby accelerating the pace of business and streamlines the way analysts use their time, preparing companies for the growing data needs of the near future. [6] “What companies need is the ability to apply AI to their business. [36] AI allows companies to detect vulnerabilities or anomalous user behavior in such business applications as ERP or Financial systems. [6] At this early stage of AI in business, corporate America is using what’s called “machine learning” for the most part as opposed to more complex “deep learning.” [36] Is AI something your organization should be paying attention to? And how can you balance a familiar, human touch in your business while taking advantage of all that machines can potentially offer? Understanding where to take AI starts with understanding where it is now. [4] In the near future AI will reshape traditional business functions such as finance, HR and customer service, according to Michael Chui of the McKinsey Global Institute, a think-tank within a consultancy. [34] Let?s dive deep with me to have a real encounter on the future of AI in business. [37] Corporate America is on the cusp of a plunge into this future of AI in business. [36] AI has evolved into that “can?t do without” technology in the modern business landscape. [38] It can only benefit your business and your people to be as educated as possible with regards to understanding AI and machine learning and how they can be utilized to improve operations, marketing, sales, and the overall customer experience. [4] HR is likely to be one of the first areas of business that will benefit from AI for two simple reasons. [6] AI is described mainly in the context of big data by the BIA (Business Improvement Areas) community, as well as in the context of data discovery. [35] Here are the ways that we predict AI will impact business over the next decade including vehicular object detection, predictive maintenance and intelligent recruitment. [46] To understand how AI will truly impact your business in the coming year, a panel of entrepreneurs from YEC gave their thoughts on the following question. [47] The changes that AI will bring to your business are likely to be positive and embracing it sooner than later will help your firm gain the upper hand over your peers. [35] The pace of business is always quickening, and with AI the need to pay attention has never been higher. [4] As a business leader, you need to move with the market and take steps to leverage this technology to its best possible extent. [6] We lead the way in every modern technology and help business succeed digitally. [6] Small to large enterprises are leveraging this technology to improve the efficiency of business processes and deliver smarter, more specialized customer experiences. [38] Although the future remains hazy, companies must remember to embrace AI-based BI tools that will keep them competitive in the tech-powered business landscape. [38] Current business communication is overloaded with content, channels, tools, and so-called solutions, depriving individuals (and companies) from hitting targets while also harming work-life balance. [6]

Industry disruptions and AI-based business models are off in the future. [36] The proliferation of new big data sources, including smartphones, tablets and Internet of Things (IoT) devices, means business no longer wish to be weighed down by huge chunks of static reports generated by BI software systems. [38] Big data is growing at an unprecedented rate and can easily gag the operations of the business. [38]

AI is making it more efficient for everyone, from small business owners to HR departments at large companies, to find suitable employees. [47]

AI has definitely not reached its peak in the healthcare industry yet as, within the next ten years, algorithms are predicted to carry out tasks that generally require human intelligence. [37] Cognitive Security systems scour the vast amounts of threat intelligence available on the internet, and help companies and public sector organizations to re-mediate their network and service perimeters before hackers can prey upon them. [46]

Artificial creativity is the concept of using algorithms that allow machines to produce content that is random yet desirable for human perception. [5]

A Forrester Data Infographic reveals that business technology decision makers – or people making technology decisions who work in roles outside of IT – are big proponents of incorporating AI technology into their businesses. [8] Increasingly AI applications work with unstructured data as well as structured, and can enable businesses to make better and faster business decisions. [7] Cybersecurity is as important for AI applications as it is for any business computing – perhaps more so, given the massive amounts of data that many AI systems use. [7] Since efficient AI/ML solutions require vast volumes of costly data to train, small companies are often reluctant to integrate AI into their business workflow. [11] Businesses, including many Fortune 500 companies, have started to grapple with what AI can do for their business and operations. [48] There are no best practices yet for companies wanting to incorporate AI and machine-learning into their business strategies today because the technology has only been viable for a few years. [9] According to an infographic from Forrester, 31% of business tech decision makers plan to implement AI technology to improve the delivery of their business?s insight services. [8] Many businesses will decide to outsource some or all their AI management; often a good business decision but an added cost. [7] AI has allowed Salesforce to build the world’s smartest CRM. Built into the Salesforce platform, Einstein can deliver predictions and recommendations based on your business processes and your customer data. [12] What makes AI valuable in business is its capability to process and analyze massive amounts of data faster than a human brain could. [39] AI accomplishes business activities with greater accuracy and at a fraction of the time that humans take. [7] Deploying AI systems is a big project, but is ultimately a business technology like any other system. [7] Employee talent, adoption of the technology, business design and potential partnerships will further drive the acceptance of AI. These factors, along with ultimately viewing AI as a core part of your business strategy will be a crucial in deciding when and how to implement intelligent technologies. [48] Changes to infrastructure may be called for in order for a business to take full advantage of AI technology. [8] AI technology will perform many tasks in a wide range of business fields in 2018. [8] The biggest use cases driving AI in business include automating job functions, improving business processes and operations, performance and behavior predictions, increasing revenue, pattern recognition, and business insight. [7] AI is equally valued for its versatility in business areas ranging from cybersecurity, because of scale and growing complexity, to customer relationship management (CRM) by turning the CRM system into a self-updating system that stays on top of companies? relationship management, to finance by integrating AI into regular banking operations, such as mortgage loans. [39] Business continuity uses AI systems that automatically detect and mitigate anomalies like power surges or potential security breaches. [7] Based on the HBR report, predictive analytics is a leading business use of AI, followed closely by text classification and fraud detection. [7] This report from Harvard Business Review reflects the nascent use of AI in business, with the many respondents in the exploration phase. [7] In the next year alone, it is estimated that 59% of business tech decision makers polled consider changing their business model to support AI to be a “high” or “critical” priority for the next 12 months. [8] Work with your employees to find the balance between investment in AI and ML technologies and maintaining the existing business. [48] The discussion will move away from which partner delivers the best quality to whether a partner can be trusted to run AI ethically and competently within a business process. [48] AI also improves business processes in transportation and logistical supply chains, such as dynamically adjusting trucking routes by tracking weather and traffic delays. [7] Every business owner and would-be entrepreneur should check out these 28 statistics about AI in 2018 (and beyond). [8] Predictive AI is not limited to traditional business: Disney Labs, Caltech, STATS, and Queensland University partnered to develop a deep learning system called Chalkboard. [7] Narrative Science found that 61% of companies with a dedicated innovation strategy are using AI technologies to mine their data for thus-far unidentified business opportunities. [8] Humans are still the best at interpreting data, so the visuals should clearly present patterns that allow business stakeholders to make better decisions. [9] Nowadays, small businesses can plug AI-ready tools into literally every element of their business workflow that involves data. [11] A recent Harvard Business Review article highlighted how Stitch Fix, an online clothing subscription service, uses a machine learning engine to help make personalized recommendations for customers. [48] In the future, intelligent apps will transform every existing software category with AI-enabled capabilities, from security tooling to enterprise applications such as marketing or ERP. Using AI, tech providers will focus on three areas — advanced analytics, AI-powered and increasingly autonomous business processes and AI-powered immersive, conversational and continuous interfaces. [39] To be successful, enterprises need to rethink every aspect of their business from the ground up. [39] The system can be also used to analyze product reviews and distill them into useful reports containing practical business insights. [11] At this point neither the technology nor the details of its implementation are standing in the way of leveraging AI and ML. Instead, there are five factors that you should keep in mind while using new technology to scale the growth of an organization: the ability to imagine, the willingness to change, the rethinking of product design, the mastering of the art of partnering and, finally, the ability to view AI as a paradigm for business change. [48] Redesign business processes from end to end, instead of using a piecemeal approach. [48] Regardless of the structures, business processes are designed by humans with relevant expertise and reflect their vision, knowledge and the organization?s mission. [39] Facebook’s Lookalike Audience allows marketers and business owners to upload information about their best customers from their website. [12] Build your business case carefully; not just to sell senior management, but to understand if the high cost is worth the benefits – especially if a big business driver is cost reduction. [7] You might be under the impression that AI is only for big, multi-million dollar companies, but smaller companies are taking advantage of AI every day, and your small business can too. [12] And, if you?re a small business owner, you need to be thinking about how your business is likely to be impacted by AI. [8] We know that many entrepreneurs and small business owners need help with naming their company, logo design, web design and other graphic design projects, but lead forms are not always the best way to help us measure and follow-up on that interest. [8]

Leveraging state-of-the-art sentiment analysis, classification and prediction algorithms small business can instantly draw useful business insights from any bit of their data. [11] All these features will save small business the cost and time needed to review data flowing into their communication channels. [11]

In sum, this concept of extending the “intelligence” of systems is the core of how AI enables critical advantage for businesses. [7] In the future, experts estimate that machines will assume a growing execution role and will assist humans in the design aspect with assembled intelligence that humans cannot collect on their own. [39] Humans will instruct the machines to assemble this intelligence and will continually monitor and fine-tune the process. [39]

Businesses of all sizes can use AI to make a business impact right now. [15] Therefore, many businesses including e-commerce, retail and B2B are deploying AI in the business context to reap greater benefits. [16] AI can do a lot for your business right now, but we’re still at the frontier of this technology. [15] Apparently, around 23% of business respondents say that they are already utilizing AI in their automation or processes. [18] Business leaders find the more fantastical uses of AI compelling — stories of traffic jams becoming nonexistent because of self-driving cars, doctors finding cures to deadly diseases, and your refrigerator automatically arranging a delivery of milk when your supply runs low. [15] This is where a partnership with a company grounded in the business uses of AI comes in handy. [15] The smart business will look for use cases that can turn AI into a competitive advantage. [15] To financial service providers, AI will help them deliver better and more efficient services which can help them sustain their business and even be one among its leaders. [18] AI will help the business of financial services convenient, accessible, affordable, and deliverable at faster rates. [18] Have a look at some of the statistics that would help you in determining the importance of AI in business. [16] Most business decision makers don’t fully realize the implications of incorporating AI into their daily operations. [15] Your business involvement with AI doesn’t have to be a game changer, like eradicating cancer or ending traffic jams forever. [15] Most business owners remain unaware of what business problems AI could solve for them right now. [15]

Openly communicate the needs of different business units and operations, so you can collect the right data and fully leverage that information. [41] It is used in Spreadsheets, querying and reporting software, Digital dashboards, Data mining, Data warehouse, Business activity monitoring. [13] Domo, a fast-growing business management software company that’s raised over $500 million in funding, has created a dashboard that gathers information to help companies make decisions. [42] To make the connections, we illustrate how to apply these sophisticated technologies in a way that provides real business impact to make companies more efficient, more productive and, ultimately, more profitable. [15] To learn more about using what these technologies can do for your enterprise communications, contact a Vonage Business representative. [15] The solution I described for my dad is small, yet the salient point for us here at Vonage is that we want customers to know these tremendous advances in technology can solve some of their business challenges, no matter the business size. [15] The technology is very real and is being used in business applications every day. [15]

Vonage (NYSE: VG) is a leading provider of cloud communications services for residential and business customers. [15] Machine learning is easiest to implement when the decision can be seamlessly automated as part of an existing business process, rather than requiring new processes or cultural changes. [19] MARKETING THOUGHT FUNNEL What?s the best decision-making model you can follow in business management? This video will help you gain some insight into the process. [17] Stay connected for more insights on business process transformation, and stay up to date with all things Accenture Operations. [41] Perspectives Blog Best practices, key insights, and industry updates showcasing how cloud communications can inspire your business goals. [15] Insurance company Pacific Specialty tapped Avanade to build an analytics platform with the intent of giving its staff more perspective and insight on the business. [42] There might be no robots that can keep pace with the humans, or have abilities to think like them, but with the passage of time, they are getting realistic and transforming the business scenario. [16] As a pattern-recognition engine, machine learning enables more automation in existing business processes. [19] In the meantime, robust machine learning algorithms are proving their worth in three ways that can easily be implemented in your business today. [19] Inside organizations, new enterprise digital assistants can assist you throughout your working day, especially in the context of core business processes such as procurement, HR, and budgeting. [19]

This is a potential threshold moment for business and industry, where machine learning might weave its way further into how operations are handled, the way decisions are made, and resources get managed. [42] These “boring” uses of machine learning are by far the biggest real opportunity for business value today. [19] It is not just the giants like SAP developing machine learning platforms for business. [42]

Avanade is a joint venture between Microsoft and Accenture that leverages the Cortana Intelligence Suite and other solutions for predictive analytics and data-based insights. [42] AI is to meant to complement and enhance humans, adds Ellie Mirman, CMO of Crayon, a competitive intelligence company that provides marketers with insight. [21] Broadly speaking, AI can support three important business needs: automating business processes (typically back-office administrative and financial activities), gaining insight through data analysis, and engaging with customers and employees. [49] In this article, we?re going to review what you need to consider to ensure a successful implementation and four preparatory actions that you need to implement to prepare your business data for AI. [22] Familiarize yourself with AI and what it can do for your business data. [22] Cognitive technologies are increasingly being used to solve business problems; indeed, many executives believe that AI will substantially transform their companies within three years. [49] According to ” Is Your Business AI Ready ” report from Genpact, 82 percent of companies plan to implement AI in the next three years and 38 percent say they currently provide their employees with reskilling opportunities. [22] In this article, we?ll look at the various categories of AI being employed and provide a framework for how companies should begin to build up their cognitive capabilities in the next several years to achieve their business objectives. [49] It is useful for companies to look at AI through the lens of business capabilities rather than technologies. [49] To get the most out of AI, firms must understand which technologies perform what types of tasks, create a prioritized portfolio of projects based on business needs, and develop plans to scale up across the company. [49] Cognitive technologies are increasingly being used to solve business problems, but many of the most ambitious AI projects encounter setbacks or fail. [49] “AI in business has become an integral, results-driven technology used in every industry and function, from manufacturing to marketing,” he says. [21] “From Siri to Alexa to Watson, we’re living in an AI world, and the technology also affects business,” says Peter George, CEO of empow, a global cybersecurity firm. [21] When asked for the top three desired business outcomes from the application of AI, the answers were: to improve and/or develop new products and services; achieve cost efficiencies and streamlined business operations, and to accelerate decision-making. [45] On the question of how organizations are measuring the value and impact of AI; most reported that they are not defining specific business outcomes at this time, but are instead focusing on piloting and learning. [45] By developing a system that automatically labels incoming customer support chats, emails, and phone calls, the business will ensure that the insights produced by AI will be meaningful. [22] AI is optimizing and modernizing companies and helping them rethink how they do business. [23] Determine the most important areas in which AI can benefit your business. [22] When discussing how your business can benefit from AI, be sure to identify particular areas and prioritize some of them. [22] David Thomas, CEO of Evident, an identity assurance platform for businesses, believes that AI in business will continue to offer many benefits. [21] Here is a five-step process to ensure your AI efforts achieve their desired business outcomes. [23] You as a business owner cannot afford not to understand the capabilities of AI, because you can lose a lot of great opportunities. [22] Business leaders weigh in on how company owners may leverage AI in business. [21]

GE has used this technology to integrate supplier data and has saved $80 million in its first year by eliminating redundancies and negotiating contracts that were previously managed at the business unit level. [49] And, when all that data is properly and thoroughly analyzed, it yields intelligent, actionable business recommendations about customers and their patterns of use. [23] We partner with our customers to help them gain an understanding of their data initiatives and rapidly develop solutions that achieve their business goals. [23] Whether a company is experiencing overall business growth, or seasonal or temporary growth, AI?s predictive and scalable platform allows businesses to respond quickly and smoothly to the needs of their customers and to changes in the market. [23] To achieve their goals, companies need detailed plans for scaling up, which requires collaboration between technology experts and owners of the business process being automated. [49] It uses a smart-routing capability (business process automation) to forward the most complex problems to human representatives, and it uses natural language processing to support user requests in Italian. [49] KPMG leaders took action and partnered with IBM to use Watson, and that partnership will greatly enhance KPMG?s ability to analyze and quickly act on critical financial and operational data, not to mention identify potentially lucrative new business offerings and services. [44] The second area of assessment evaluates the use cases in which cognitive applications would generate substantial value and contribute to business success. [49] The first assessment determines which areas of the business could benefit most from cognitive applications. [49]

In time, cognitive technologies will transform how companies do business. [49] Proof-of-concept pilots are particularly suited to initiatives that have high potential business value or allow the organization to test different technologies at the same time. [49] Make sure your business process owners discuss scaling considerations with the IT organization before or during the pilot phase: An end run around IT is unlikely to be successful, even for relatively simple technologies like RPA. [49] Our study of 152 projects in almost as many companies also reveals that highly ambitious moon shots are less likely to be successful than “low-hanging fruit” projects that enhance business processes. [49] Reinventing and managing your most essential business processes with new ways of working. [23] Services Working to reshape business models, modernize products and enhance customer experiences to drive growth. [23] Insights to make informed business decisions and to develop clear business strategies and solutions to challenges. [23] As this article points out, a recent survey of 2,500 U.S. consumers and business decision makers identified widespread confidence in the role of A.I. in the future. [44]

The fastest way to accelerate AI for business is leveraging powerful and energy-efficient GPUs. [50]

Our unique and proven holistic AI methodologies help transform our client?s systems into next-generation intelligence platforms. [23] Global companies who are facing competitive pressure to transform their legacy data systems into generators of real-time intelligence are turning to Cognizant for help. [23] Customer intelligence (CI) is the collection and analysis of large amounts of data to determine the best, most effective ways to interface and interact with your clients. [23] Cognizant?s Adaptive Data Foundation (ADF) is helping leading enterprises quickly transition their existing data management stacks into a real-time, agile, self-service platform that delivers intelligence across the enterprise at scale. [23]

Our fraud intelligence solution preempts risks and fraud in real-time using cognitive services and human sciences. [23] RPA is the least expensive and easiest to implement of the cognitive technologies we?ll discuss here, and typically brings a quick and high return on investment. (It?s also the least “smart” in the sense that these applications aren?t programmed to learn and improve, though developers are slowly adding more intelligence and learning capability.) [49]

RANKED SELECTED SOURCES(50 source documents arranged by frequency of occurrence in the above report)

1. (17) How to Use Artificial Intelligence in Business Right Now | Vonage Business

2. (17) Benefits of artificial intelligence in business – KLIENT SOLUTECH

3. (17) Artificial Intelligence Impacts Business: the AI-Business Revolution – Datamation

4. (16) AI Solutions for Business | Cognizant

5. (16) 3 Things AI Can Already Do for Your Company

6. (15) How Artificial Intelligence is Transforming Business? – IQVIS Inc.

7. (15) Top 11 Uses & Applications of Artificial Intelligence & ML in Business

8. (15) 28 Ways Artificial Intelligence Will Affect Your Business and Life in 2018

9. (13) A guide to artificial intelligence in enterprise: Is it right for your business?

10. (12) AI In Business: How Future Of AI Looks As Firms Explore Artificial Intelligence | Stock News & Stock Market Analysis – IBD

11. (12) 6 Examples of AI in Business Intelligence Applications

12. (10) What Artificial Intelligence Means for Your Business – Right Now

13. (9) 5 Ways Small Business Owners Can Benefit from Artificial Intelligence Today

14. (9) AI in Business: How Artificial Intelligence May Benefit Your Company | OPEN Forum

15. (9) How to Prepare Your Business Data for Artificial Intelligence

16. (8) Artificial intelligence in business strategies, uses

17. (8) How Artificial Intelligence (AI) Is The New Business Intelligence

18. (8) Artificial Intelligence In Business: The Impact & Future Prospects

19. (8) How AI is Transforming Business Intelligence – Dataconomy

20. (8) Disruption Imminent: Artificial Intelligence In Business – Brand Quarterly

21. (7) 5 ways to use artificial intelligence to scale your business strategy | CIO

22. (7) Artificial Intelligence in Business

23. (6) Three Ways To Implement AI For Business

24. (6) The Business Analyst in the World of Artificial Intelligence and Machine Learning – DATAVERSITY

25. (5) How AI Can Transform Your Small Business

26. (5) Role of Artificial Intelligence in Business Management

27. (5) Artificial Intelligence Is Revolutionizing The Business World | Articles | Analytics | Innovation Enterprise

28. (5) Eight ways AI will change your business in 2018

29. (5) AI Is the Next Revolution in Business | Inc.com

30. (5) Artificial Intelligence Concerns and How Business Should Approach It: An Interview with Gregory Piatetsky-Shapiro

31. (4) Artificial Intelligence vs Business Intelligence – Learn 6 Useful Comparison

32. (4) Preparing Your Business For The Artificial Intelligence Revolution

33. (3) Artificial Intelligence Business Case

34. (3) Zero One: Where Is Artificial Intelligence in Business Today? | Channel Futures

35. (3) Artificial Intelligence for Business Processes | Accenture

36. (3) Understanding how artificial intelligence is impacting the world – Business Insider

37. (3) The Growing Impact of AI on Business – MIT Technology Review

38. (3) How AI will impact business in the next decade – Watson

39. (2) 5 Artificial Intelligence Business Lessons From The Masters

40. (2) How Is Artificial Intelligence Changing The Business Landscape?

41. (2) 5 ways AI powers business travel – TechRepublic

42. (2) Is Artificial Intelligence Adding Value to Your Business? – Influencive

43. (2) Non-tech businesses are beginning to use artificial intelligence at scale – GrAIt expectations

44. (2) Artificial intelligence in business: challenges and recommendations

45. (2) 13 ways AI will change your business in 2018

46. (1) How Artificial Intelligence Will Transform Business – WSJ

47. (1) How to Use Artificial Intelligence to Grow Your Business | Jamie Turner | @AskJamieTurner

48. (1) How Artificial Intelligence Is Revolutionizing Business In 2017

49. (1) Artificial Intelligence for Business | Courses at Columbia Business School

50. (1) How Artificial Intelligence Is Changing the Way Companies Do Business | HuffPost