The market for artificial intelligence (AI) technologies is flourishing. Beyond the hype and the heightened media attention, the numerous startups and the internet giants racing to acquire them, there is a significant increase in investment and adoption by enterprises. A Narrative Science survey found last year that 38% of enterprises are already using AI, growing to 62% by 2018. Forrester Research predicted a greater than 300% increase in investment in artificial intelligence in 2017 compared with 2016.
IDC estimated that the AI market will grow from $8 billion in 2016 to more than $47 billion in 2020.
AI will quickly become more than an underlying technology capability; it will permeate intelligent enterprises and advance to a fundamental tool for daily engagement with people—both customers and employees. In time, it will become the digital spokesperson for leading enterprises. Customers will experience a company’s brand through personalized, 100 percent consistent and natural interactions with AI service agents—and even engage with the brand through other companies’ AI interfaces.
Given the mainstream proliferation of AI and its rise as the major trendsetter in the digital arena, I’d like to highlight my top 10 Blog Posts on AI:
For the larger mass of professionals, the words “artificial intelligence,” or AI, often conjure up images of robots, the sorts of robots that might someday take their jobs. But at the enterprise level, AI means something different. It has enormous power and potential: it can disrupt, innovate, enhance, and in many cases totally transform a business. There’s solid proof that the investment can pay off—if CEO’s can adopt the right strategy. Organizations that deploy AI strategically enjoy advantages ranging from cost reductions and higher productivity to top-line benefits such as increasing revenue and profits, richer customer experiences, and working-capital optimization. Read the detailed report to understand what should be the top level strategy of CEO to determine, and make their enterprise AI ready.
Through 2020, organization using cognitive ergonomics and system design in new AI projects will achieve long term success four times more often than others
2. UNDERSTANDING BURGEONING AI LANDSCAPE; AN INVESTMENT OPPORTUNITY HARD TO IGNORE – A PERSPECTIVE FOR PE / VC & INVESTMENT FUNDS
This blog post is meant for the Private Equity / Venture Capitalist cohort to understand strategic and crucial aspects of growth trend of AI enterprise and startups and how they can leverage the investment opportunity that has opened up in this space.
I’ve seen AI applied to some of the most obscure topics you can imagine, ranging from industrial energy usage all the way to finding the right GIFs. Using Artificial Intelligence to improve and create solutions to today’s pressing business and social problems is one of the defining trends of the tech world for me.
So, if you are a PE / VC entity and are looking for investment opportunity in AI space, you will have to understand what kinds of AI companies exist and how this AI practice has evolved from Analytics practice.
Despite nationwide venture funding hitting a multiyear low, venture capital deployed to artificial intelligence (AI) startups has reached a record high. To date, the market contains 2,045 AI startups and more than 17,000 market followers, with more joining by the day.
Last year (2016), VCs struck 658 deals with AI companies, nearly five times the number that signed on the dotted line four years before.
So while we’ve just glimpsed the tip of this innovation iceberg, it’s clear AI is no longer some nebulous technology of the future. For a technology that only went mainstream in 2016 and barely existed four years ago, that’s a remarkable adoption rate. How, regardless of the platform you choose, can you join forward-thinking entrepreneurs and build your business with AI? Read the complete blog post to find out.
While some predict mass unemployment or all-out war between humans and artificial intelligence, others foresee a less bleak future. A future looks promising, in which humans and intelligent systems are inseparable, bound together in a continual exchange of information and goals, a “symbiotic autonomy.” If you may. It will be hard to distinguish human agency from automated assistance — but neither people nor software will be much use without the other.
Read the complete blog post to find out how in the coming years, a symbiotic autonomy will be reached between humans and AI paving way of mutual co-existence and augmentation.
An explosion of data and advances in algorithms have made technology smarter than ever before. Machines can now carry out tasks ranging from recommending movies to diagnosing cancer — independently of, and in many cases better than, humans. In addition to executing well-defined tasks, technology is starting to address broader, more ambiguous problems. It’s not implausible to imagine that one day a “strategist in a box” could autonomously develop and execute a business strategy. We’ve spoken to CXOs and leaders who express such a vision — and companies such as Amazon and Alibaba are already beginning to make it a reality.
AlphaGo, which caused a stir by defeating 18-time world champion Lee Sedol in Go, is emblematic of a broader trend: An explosion of data and advances in algorithms have made technology smarter than ever before.
Read the detailed blog post to understand how CXOs are leveraging Augmented AI to create an Integrated Strategy Machine at the top level, which manifests itself into a true-integration of AI to all core business processes.
For organizations, transforming finance and accounting function via adoption of topical technology means improving how they pre-empt red flags around the financial transactions within the organizations. CFOs around the world are not asking if digital disruption will occur, but instead, what it means for their function.
Prudent finance and accounting operability represents the single biggest challenge firms have to deliver on their priorities, according to a survey by Econsultancy.
Read this blog post in detail to understand how can CFO’s leverage digital transformation wave using AI to advance their organization’s competitive position and improve performance of their function?
I had an opportunity to moderate a fireside chat at NASSCOM Martech conference that carried a theme around changing role for CMO with the advent of AI and I could notice a substantial set of queries during the conference on how AI will redefine marketing. As understandable, each new technology can create fear, uncertainty, and doubt until we understand it better. And AI, with all its hype, fits that bill. But to remain current and relevant, CMOs must quickly understand and apply AI.
In a June 2016 report of Weber Shandwick, it was found that 68% of CMOs report their company is “planning for business in the AI era” with 55% of CMOs expecting AI to have a “greater impact on marketing and communications than social media ever had.”
Read this blog post, which is a short AI primer for the CMOs to understand how AI can be applied to marketing, and the overview of various attributes over marketing implementation for an enterprise.
Investment in AI has accelerated from $282 million in 2011 to $2.4 billion in 2015. In 2016, this continued to increase with roughly another $1.5 billion being invested in more than 200 AI-focused companies in 2016. AI is becoming indispensable in every core industry. Will we be saying the same thing about CHROs using artificial intelligence in the workplace? Will we consider it unthinkable not to use intelligent assistants to transform recruiting, HR service centers, and learning and development? I believe the answer is yes. HR leaders will need to begin experimenting with all facets of AI to deliver value to their organizations. As intelligent assistants become more widely used in our personal lives, we will expect to see similar usage in the workplace.
Read the complete blog post to understand the perspectives for CHRO, on how AI will transform the Talent Management and Talent Acquisition aspects of HR completely.
Today’s artificial intelligence (AI) revolution has been made possible by the algorithm revolution. Today’s deep learning neural networks can be trained on millions of electronic photographs to identify faces, and similar algorithms may increasingly be used to navigate automobiles and identify tumors in X-rays. But current AI technologies are a collection of big data-driven point solutions, and algorithms are reliable only to the extent that the data used to train them is complete and appropriate. One-off or unforeseen events that humans can navigate using common sense can lead algorithms to yield nonsensical outputs.
Design thinking is defined as human-centric design that builds upon the deep understanding of our users (e.g., their tendencies, propensities, inclinations, behaviours) to generate ideas, build prototypes, share what you’ve made, embrace the art of failure (i.e., fail fast but learn faster) and eventually put your innovative solution out into the world. Read in detail to understand how design thinking is required to foster creative intelligence in enterprise premise to bring scalable or transformative impact, instead of just incremental value by just more powerful intelligence.
Artificial intelligence technologies could reshape economies and societies, but more powerful algorithms do not automatically yield improved business or societal outcomes. Human-centered design thinking can help organizations get the most out of cognitive technologies.
This blog is a little unconventional and provides an interesting future perspective of AI. This blog post hypothesizes the evolution of AI to a scale that it is connected to all aspects of humanity, and hence would be capable of defining directives on a macro, pan-humanity scale for humans to follow to optimize their life and conditions around them. In the next 25 years, AI will evolve to the point where it will know more on an intellectual level than any human. In the next 50 or 100 years, an AI might know more than the entire population of the planet put together.
This theory, based on a seminal implementation of an AI God in the current time by Anthony Levandowski, called The Way of the Future, presents an interesting analysis and critical thinking based overview of if an AI God is possible and how it would be implemented and what constraints would there be to take care of.
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