The United States is at the precipice of a defining moment in history. Throughout the past 5 years, progress in artificial intelligence (AI) has greatly accelerated. From the defeat of Go champion Lee Sedol by DeepMind's AlphaGo program to the first deployments of fully-autonomous vehicles on public roads, recent events are challenging us to re-evaluate what may soon be possible for computerized systems. AI systems have already begun to quietly pervade a growing share of businesses, governments, and individual lives around the world, and we are only just beginning to grasp the impacts that this technological revolution will have on our economy, society, and national security. In our paper, we outline the key elements of a comprehensive national strategy for the United States to promote the safe and responsible development of AI, and to maintain U.S. leadership in AI technology.

Artificial intelligence (AI) is no longer on the horizon. It's here now, and it's already having a profound impact on how we live, work, and do business. Companies, governments, and organizations must embrace the idea of going places they simply cannot get to using current technologies and processes. AI can and will transform organizational decision-making, drive efficiencies, build new capabilities and businesses, and power sustainable, value-driving activities. But like all revolutions in technology, capturing maximum value while simultaneously minimizing risk will require a strategic understanding of both what AI is, and how it aligns with your core business.

It has been more than six decades since the concept of Artificial Intelligence has transformed from imagination to an academic discipline. Influencers, especially those active on social media help give direction to the policymakers and academicians. They keep common men updated on the trends and'what is what' in AI, Machine Learning and associated concepts like Big Data and BlockChain. AiThority introduces you to the 50 most popular AI-influencers of North America. A PhD in industrial-organizational psychology, his interests lies in Data Science, CX, Statistics and Machine Learning.

The role of a data analyst is evolving in the era of emerging artificial intelligence (AI). So much so, we might need to relabel this role as Analyst 2.0. Here's a look at what Analyst 2.0 means for the next-gen data guru helping organizations use data for better decision-making. We are all swamped with data. Analysts have a hard time keeping pace with demands for intel that can only be gleaned through analytics.

Is artificial intelligence finally starting to take on a recognizable shape, after its history of being sometimes overhyped, often misunderstood, and always intriguing (but in a tantalizingly futuristic sort of way)? To better understand the state of AI development, the firm this year conducted deep interviews with executives at 30 of the world's largest companies, as well as three of largest providers of AI solutions and services. Out of this work, eight trends came into view. Rapid shift from experimental to applied technology. "Less than three years ago, many leaders in large organizations were asking themselves if AI could support their productivity and growth objectives, and many were just beginning to pilot and test AI applications," KPMG said. Since then, AI has quickly moved from a "technology to watch" to a "technology to deploy," according to the report.

Leaders need to rapidly realize the potential of artificial intelligence (AI) to accomplish their missions. Yet today, deployments rely on custom-built models and "one-off" integrations. Despite massive investments, organizations struggle to move AI from the lab to production at scale. Booz Allen is applying lessons learned from some of today's most complex AI engagements to replace costly, cumbersome deployments with open standards and plug-and-play interoperability. Discover – Access proven, pre-trained, explainable models.

Two years ago artificial intelligence (AI) reached the peak of absurd expectations, as I tried to capture in this post. Well, reality seems to have crept in, something that shows in how companies have been approaching AI, which has been to focus on low-hanging fruit, rather than moonshots. This is according to Deloitte's State of AI in the Enterprise, 2nd Edition, which unveils a world increasingly serious about AI. That said, there are still some head-scratchers in the data. Let's dive into the report.

Enterprises spanning virtually all industries and markets are jumping onto the artificial intelligence bandwagon. Yet as they climb on board for a ride into the future they soon discover that stock AI tools aren't capable of meeting their exact business needs. However, organizations don't need to spend large amounts of time and money building their own AI tools to fix this problem, suggested Kevin McMahon, executive director of mobile and emerging technologies at digital tech consultancy SPR. All they have to do, he noted in an interview, is to customize already existing tools to fit their exact business needs. To be effective, AI software must be tailored to address specific business problems, and this is where generic algorithms often fall short, said Sanjay Srivastava, chief digital officer at professional services firm Genpact.

Interest in artificial intelligence is on the rise in Egypt as enterprises embrace emerging technology to expand into new markets, investors back AI startups and government initiatives support education and awareness of the technology. There is mounting evidence that private enterprise is embracing AI. Recently, for example, AI and anlytics vendor fonYou partnered with a mobile operator in Egypt to use its AI module to reach the unbanked, and Widebot just raised a six-figure (USD) Pre-Series A investment for its Arabic language chatbot. Meanwhile, the government is looking to develop AI capabilities in a number of ways, including launching its first AI faculty at Kafr El Sheikh University. Egypt is aiming to have 7.7 percent of its GDP derived through AI by 2030, a figure touted in the PricewaterhouseCoopers (PwC) report, The Potential Impact of AI in the Middle East.

PwC announced that it was cited as a Leader in The Forrester Wave: AI Consultancies, Q3 2019. On firms that provide Artificial Intelligence (AI) consulting services, Forrester notes that "offering, breadth of support, and innovation are key differentiators." The report states that: "PwC doesn't see a technology problem; it sees a business problem. PwC's "reframing" approach for digital carries through to the firm's AI practice: PwC doesn't come to fix the plumbing but instead to transform a client. While many AI engagements address business process and customer experience, PwC doesn't stop there. The firm also illustrates how AI can change the way executives work by presenting interactive simulations of markets that they aren't in, they aren't optimised for, or don't exist. This allows leaders to imagine and execute on new business models and new products."