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Machine Learning Is Over-hyped and It Is Vital We Start To Cut Through The Noise

Businesses are ultimately still at an early stage with their machine learning adoption and understanding its capabilities. More than 20 experts from world-leading organizations will speak at the upcoming Machine Learning Innovation Summit, which will take place this June 5-6 at the Marriott Union Square in San Francisco. Speakers from a diverse range of industries will take the stage.

NVIDIA to Train 100,000 Developers on Deep Learning in 2017

[GPU Technology Conference Coverage] To meet surging demand for expertise in the field of AI, NVIDIA announced that it plans to train 100,000 developers this year — a tenfold increase over 2016 — through the NVIDIA Deep Learning Institute. Analyst firm IDC estimates that 80 percent of all applications will have an AI component by 2020. The NVIDIA Deep Learning Institute provides developers, data scientists and researchers with practical training on the use of the latest AI tools and technology.

Interview: Jennifer Marsman, Principal Software Development Engineer at Microsoft

In this podcast interview, I caught up with Jennifer Marsman, Principal Software Development Engineer at Microsoft, to find out what it’s like to be a data scientist at Microsoft and get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.

GPU Technology Conference 2017 in Silicon Valley, May 8-11

GTC is the largest and most important event of the year for GPU developers. GTC and the global GTC event series offer valuable training and a showcase of the most vital work in the computing industry today – including artificial intelligence and deep learning, healthcare, virtual reality, accelerated analytics, and self-driving cars. The event is hosted by GPU giant NVIDIA,

Interview: Dr. Danielle Dean, Senior Data Scientist Lead at Microsoft

In this podcast interview, I caught up with Dr. Danielle Dean, Senior Data Scientist Lead at Microsoft in the Algorithms and Data Science Group within the Cloud and Enterprise Division, to find out about her experience at Microsoft and get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.

Thales: 63% of Enterprises Using Cloud, Big Data, IoT and Container Environments without Securing Sensitive Data

Thales, a leader in critical information systems, cybersecurity and data security, announced the results of its 2017 Thales Data Threat Report, Advanced Technology Edition, issued in conjunction with analyst firm 451 Research. According to the report, 93 percent of respondents will use sensitive data in an advanced technology (defined as cloud, SaaS, big data, IoT and container) environments this year.

AI to Have Dramatic Impact on Business by 2020, According to Tata Consultancy Services Global Trend Study

Tata Consultancy Services (BSE: 532540, NSE: TCS), a leading global IT services, consulting and business solutions organization, unveiled its Global Trend Study titled, “Getting Smarter by the Day: How AI is Elevating the Performance of Global Companies.” Focused on the current and future impact of Artificial Intelligence (AI), the study polled 835 executives across 13 global industry sectors in four regions of the world, finding that 84% of companies see the use of AI as “essential” to competitiveness, with a further 50% seeing the technology as “transformative.”

New Research Proves Increased Awareness in the Value of Open Data Science, but Enterprises are Slow to Respond

New research announced by Continuum Analytics, the creator and driving force behind Anaconda, a leading Open Data Science platform powered by Python, finds that 96 percent of data science and analytics decision makers agree that data science is critical to the success of their business, yet a whopping 22 percent are failing to make full use of the data available. These findings are included in Continuum Analytics’ new eBook, Winning at Data Science: How Teamwork Leads to Victory.

Open Source Tools for Enterprise Data Science

Learn about open source tools for enterprise data science by downloading the new white paper, “DataScience Trends Report: Open Source Tools for Enterprise Data Science” by DataScience, Inc. The white paper looks at activity data from the most popular GitHub repositories to identify trends in data visualization tools, deep learning libraries, and open source licensing using the interactive DataScience Trends tool.

Interview: Anusua Trivedi, Data Scientist on Microsoft’s Advanced Data Science & Strategic Initiatives Team

In this podcast interview, I caught up with Anusua Trivedi, a Data Scientist on Microsoft’s ADS team, to get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.