IDC Report Declares IBM #1 in Worldwide AI The MSP Hub


According to IDC, IBM leads the Worldwide Artificial Intelligence Market. Growing 35.6% to $28.1 billion, the artificial intelligence (AI) market experienced steady growth in 2018. The International Data Corporation (IDC), the premier global provider of market intelligence and advisory services for the information technology industry, has produced an objective study of worldwide artificial intelligence market revenue for 2018. Entitled'Worldwide Artificial Intelligence Market Shares, 2018: Steady Growth -- POCs Poised to Enter Full-Blown Production,' it finds amongst many other things that cost of the solution, lack of skilled personnel, and a bias in data have held organisations from more broadly implementing AI. On the other hand, automation, business agility, and customer satisfaction are the primary drivers for AI initiatives.

SoftBank considering plan to merge Yahoo Japan with Line

The Japan Times

SoftBank Group Corp. is considering a plan to consolidate its Yahoo Japan internet business with the messaging service Line Corp. Z Holdings Corp., a unit of SoftBank's telecom arm formerly known as Yahoo Japan, confirmed Thursday that it's in talks with Tokyo-based Line about a possible merger, but said no final decision on a deal had been made. Line separately said it is considering such a merger along with other opportunities to increase value. Z Holdings shares surged in Tokyo, while Line's stock was poised to climb. SoftBank Corp., the domestic telecom arm of Masayoshi Son's business empire, holds a 44 percent stake in Z Holdings, while Line is controlled by South Korea's Naver Corp. SoftBank is considering setting up a new company with Naver, according to people familiar with the matter who asked not to be identified because the talks are private. They may reach an agreement as early as this month, one of the people said.

5 Reasons Your Business Should Leverage Machine Learning Now


More online businesses are integrating machine learning into their operations, with the bigger and established ones trailblazing the revolution. Machine learning has brought myriad opportunities and improved strategies to help business owners foster customer relationships and get more profit and conversions. If you haven't fully leveraged the power of machine learning in your business, let me give you five reasons why you should do so now. Can you imagine buying from the grocery store without having to wait in line to pay for your goods? If you can't, then you'd better prepared because that is now a reality.

Microsoft Sends a New Kind of AI Processor Into the Cloud


Microsoft rose to dominance during the '80s and '90s thanks to the success of its Windows operating system running on Intel's processors, a cosy relationship nicknamed "Wintel". Now Microsoft hopes that another another hardware–software combo will help it recapture that success--and catch rivals Amazon and Google in the race to provide cutting-edge artificial intelligence through the cloud. Microsoft hopes to extend the popularity of its Azure cloud platform with a new kind of computer chip designed for the age of AI. Starting today, Microsoft is providing Azure customers with access to chips made by the British startup Graphcore. Graphcore, founded in Bristol, UK, in 2016, has attracted considerable attention among AI researchers--and several hundred million dollars in investment--on the promise that its chips will accelerate the computations required to make AI work.

Artificial Intelligence, Machine Learning, and Utilities: What's Your Story?


Among the most exciting and fast-moving areas of the utility sector is the increasing prevalence of artificial intelligence (AI), machine learning, and similar digital tools across each facet of power production, transmission, and delivery. In previous months, the Energy Central Hot Topic Special Issues have focused on fields like Blockchain, GIS, DERs, and Energy Efficiency, but some of the most compelling pilots and programs happening in each of those areas would be impossible without AI technology integrated into energy systems. Because of that, it's time to let artificial shine with its own Hot Topic Special Issue! In partnership with Bidgley, the theme for our next special issue is "Brave New World: AI and Machine Learning at Utilities," and we want to hear from you! These advanced technologies are accomplishing so much these days, from enabling demand response programs to be optimized, integrating smart grid technologies across the network, empowering managed charging of electric vehicles, helping generators plan ahead for what future demand will look like, and so much more.

Data Science and Machine Learning using Python - A Bootcamp


Python to analyze data, create state of the art visualization and use of machine learning algorithms to facilitate decision making. Python to analyze data, create state of the art visualization and use of machine learning algorithms to facilitate decision making. Python to analyze data, create state of the art visualization and use of machine learning algorithms to facilitate decision making. Greetings, I am so excited to learn that you have started your path to becoming a Data Scientist with my course. Data Scientist is in-demand and most satisfying career, where you will solve the most interesting problems and challenges in the world.

AI and Compute


We're releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.4-month doubling time (by comparison, Moore's Law had a 2-year doubling period).[1] Since 2012, this metric has grown by more than 300,000x (a 2-year doubling period would yield only a 7x increase). Improvements in compute have been a key component of AI progress, so as long as this trend continues, it's worth preparing for the implications of systems far outside today's capabilities. The total amount of compute, in petaflop/s-days, used to train selected results that are relatively well known, used a lot of compute for their time, and gave enough information to estimate the compute used. A petaflop/s-day (pfs-day) consists of performing 1015 neural net operations per second for one day, or a total of about 1020 operations.

How will virtual reality, AI, and robot technologies impact the workplace?


Virtual reality (VR), artificial intelligence (AI), and robot technologies are evolving quickly and impacting the facilities management industry. In this article, we take a look at the ways that effective facilities management teams can adopt these cutting edge technologies. Virtual reality is quickly becoming commonplace in our society, with new enterprise and consumer applications being developed at a feverish pace. Even tech giants like Facebook, Google and Samsung have entered the VR market with their own consumer grade devices. So far, the technology has centered around immersive experiences for entertainment like video games and movies, but we're now seeing VR used in healthcare, engineering, and other non-consumer based industries.

Episode 1 - AI Usage in Cybersecurity - is it hype/real? The Infralytics Show interview with Bharat Kandanoor, Head of Technology for Security and Cloud at Blue Ally -


Shankar Radhakrishnan, Founder of Skedler, recently sat down with Bharat Kandanoor to discuss the use of Artificial Intelligence (AI) in cybersecurity. Bharat, who is the Technology Head for cybersecurity and cloud at Blue Ally, a managed service provider, was able to shed light on the intricacies of AI's usage in cybersecurity processes. Let's dive deep into understanding whether AI is an overhyped cybersecurity solution, how it is being used to tackle network security problems, and how AI may be able to create a better cybersecurity future for the end user. Is this level of AI adoption a response to measurable cyber threats that AI can help to remediate or is it merely an overhyped reach by firms around the world? Bharat Kandanoor tells us in our exclusive one-on-one video podcast that "Artificial Intelligence is being used as an overhyped terminology in general."

7 Steps for Getting Started with AIOps Ayehu


Today's IT teams are dealing with a growing mountain of data. What's more, they're finding themselves having to use a multitude of tools in order to monitor and manage that data. In situations of technical outages, this can make it incredibly difficult and time-intensive to identify and resolve underlying issues. Anyone in business knows that even just a tiny amount of down-time can have a serious and costly impact on the bottom line. And it's the IT team that bears the brunt of the burden.