Artificial intelligence is expected to contribute a potential US$15.7 trillion to the global economy by 2030, so it's not surprising that more companies are considering buying an AI firm to bolster their tech capabilities. The number of AI deals rose from only 10 in 2012 to 166 in 2018, according to CB Insights, and there were more than 140 AI acquisitions in just the first eight months of 2019.1 If your company is thinking about jumping on the AI bandwagon, you should know that this deal won't be like others you've made in the past. So you need to prepare. For one thing, the maturity of these companies varies markedly. Six out of 10 of the approximately 1,600 European AI startups in MMC Ventures' 2019 State of AI study are only at the earliest stages of AI implementation, while only one out of six has reached the growth stage.2

MCLEAN, Va. - Today, Booz Allen introduces ModzyTM, a first-of-its-kind enterprise artificial intelligence (AI) software product with a mission of its own: putting AI to work through the power of trusted models and a secure, scalable platform. The Modzy platform and model marketplace create the missing AI layer in today's tech stack, accelerating the deployment of AI from the lab to the enterprise. With click-to-deploy access for a growing list of AI models from leading tech companies and open source communities, and an environment to upload, manage and reuse AI models, Modzy greatly reduces risk and barriers to adopting and scaling AI. Interested customers can request an invitation to the Modzy Early Access Program, beginning today. "Achieving the promise of AI requires much more than training the next algorithm. It's about giving organizations choice and having a predictable and repeatable way to rapidly deploy, manage and secure AI models at enterprise scale," said Dr. Josh Sullivan, senior vice president, Booz Allen Hamilton and Modzy executive leader.

MCLEAN, Va.--(BUSINESS WIRE)--Today, Booz Allen introduces ModzyTM, a first-of-its-kind enterprise artificial intelligence (AI) software product with a mission of its own: putting AI to work through the power of trusted models and a secure, scalable platform. The Modzy platform and model marketplace create the missing AI layer in today's tech stack, accelerating the deployment of AI from the lab to the enterprise. With click-to-deploy access for a growing list of AI models from leading tech companies and open source communities, and an environment to upload, manage and reuse AI models, Modzy greatly reduces risk and barriers to adopting and scaling AI. Interested customers can request an invitation to the Modzy Early Access Program, beginning today. "Achieving the promise of AI requires much more than training the next algorithm. It's about giving organizations choice and having a predictable and repeatable way to rapidly deploy, manage and secure AI models at enterprise scale," said Dr. Josh Sullivan, senior vice president, Booz Allen Hamilton and Modzy executive leader.

A global study of business leaders conducted by SAS, Deloitte and Intel claims to have shown organisations combining artificial intelligence with their IoT initiatives get much better results than those using IoT alone. For the study, 450 business leaders from around the world were asked about their use of IoT and AI technologies. IDC conducted research and analysis for the study. The study, AIoT- How IoT Leaders Are Breaking Away, coins the term'AIoT' for IoT enhanced with AI. SAS COO, Oliver Schabenberger said most successful IoT operations are actually AIoT operations.

It's impossible to say precisely how artificial intelligence will disrupt the job market, so researchers at PwC have taken a birds eye view from the top down, and pointed to the results of sweeping economic changes. Their prediction, in a new report out Tuesday, is that it'll all balance out in the end. But the rise in robots and machine-learning software will make the country more productive over the next two decades, growing at a 2% annual clip, to put nearly the same number of jobs back in the system: 7.2 million, PwC estimates. To be clear those new jobs won't involve building robots or coding AI-powered software, which will only make up around 5% of employment, says John Hawksworth, PwC's chief economist. Instead around 1.5 million, or 22%, of the new jobs will be in health and social work.

This Halloween, we attempt to discuss what fears haunt HR about the future of work. Do you fear of AI taking over our jobs – the robot apocalypse as they call it? Does the visual of deserted workplaces – rife with cobwebs, haunted by the voices of former employees – where machines have taken over make you lose your sleep? We asked leaders engaged in HR, HR technology, and the future of work practices on what the biggest fears of HR are. Your HCM System controls the trinity of talent acquisition, management and optimization - and ultimately, multiple mission-critical performance outcomes.

What kind of feelings spring to mind when you hear the words "Artificial Intelligence"? Are they positive or negative? Considering how AI is represented in the media, chances are that those feelings are somewhat negative. There are plenty of examples to support those feelings. Even the positive-sounding stories about "efficiency" and "productivity" mask a rather uncomfortable question for most people reading them that basically boils down to, "Will the robots take my job?" It's easy to focus on the negative stories, but it's important to balance this by recognising that, as humans, we're all susceptible to hard-wired cognitive biases that skew our sense of risk.

AI1 is advancing the way the public sector serves its constituents. In Singapore, AI-powered technologies are scanning the dark web to identify patterns that can help law enforcement officials to understand the illegal drug market, and are giving rise to "digital twin" models (virtual replicas of physical spaces) that simulate emergency situations.2 In other cities and regions around the world, similar stories are emerging: AI activities range from alerting refuse collectors when bins are full, and predicting the need for infrastructure repair, to improving energy efficiency through smart thermometers and powering advanced military security systems with drones. And AI is still in its early days. Governments ready to seize this growing opportunity are ramping up their spending on AI.

While #AI can automate basic tasks, there still remains the challenge of freeing employees up to develop the skills needed to successfully implement AI and to benefit from its power.

R is a free programming language for data analysis, statistical modeling and visualization. It is one of the most popular tool in predictive modeling world. Its popularity is getting better day by day. In 2016 data science salary survey conducted by O'Reilly, R was ranked second in a category of programming languages for data science (SQL ranked first). In another popular KDnuggets Analytics software survey poll, R scored top rank with 49% vote.