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The Harvard Data Science Initiative and The MIT Press Launch the HARVARD DATA SCIENCE REVIEW

The Harvard Data Science Initiative (HDSI) and the MIT Press are pleased to announce the launch of the Harvard Data Science Review (HDSR). The multimedia platform will feature leading global thinkers in the burgeoning field of data science, making research, educational resources, and commentary accessible to academics, professionals, and the interested public. With demand for data scientists booming, HDSR will provide a centralized, authoritative, and peer-reviewed publishing community to service the growing profession.

State of Data Science, Engineering & AI Report – 2019

Our friends over at Diffbot, using the Diffbot Knowledge Graph, and in only a matter of hours, conducted the single largest survey of machine learning skills ever compiled in order to generate a clear, global picture of the machine learning workforce. All of the data contained in the “State of Data Science, Engineering & AI Report – 2019” was pulled from the company’s structured database of more than 1 trillion facts about 10 trillion entities (and growing autonomously every day).

The insideBIGDATA IMPACT 50 List for Q3 2019

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

TOP 10 insideBIGDATA Articles for June 2019

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. We’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.  We’re happy to oblige! We […]

Leveraging Data, Blockchain and AI to Help Agriculture Meet Growing Global Demand

Given the scale of the world’s food supply, there aren’t many industries that lend themselves to the power of data science and analytics than agriculture. This is the thinking behind a new research paper from a group of data scientists who make a case for finding new ways to use blockchain, AI and API management to enable “smart agriculture.” The paper, “Agricultural Digital Transformation,” has been published in the OR/MS Today journal from the Institute for Operations Research and the Management Sciences (INFORMS).

International Women’s Engineering Day

Today is International Women’s Engineering Day 2019, and with women making up just 16% of engineering professionals, it’s important to highlight amazing women in the field, and encourage more young women to consider a career in engineering, specifically data science and data engineering in the process.

TOP 10 insideBIGDATA Articles for May 2019

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

“Above the Trend Line” – Your Industry Rumor Central for 6/12/2019

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

The Data Science Diversity Gap: Where Are the Women?

In this contributed article, freelance human Avery Phillips believes that data science is a much more creative field than you think. Diversifying data science teams means opening the door to different, more creative perspectives. This is especially important when the tech that’s being developed will specifically combat women’s issues, such as women’s healthcare. Show your innovative side in order to be of true value to the company you work for. Modern, savvy companies won’t care about your gender if you’re brilliant at what you do.

The Data Talent Market Continues Its Ascent

We’re at an important inflection point in history where a glaring shortage of data-centric skills, coupled with an increasing demand for data professionals, represents a unique opportunity for those willing to make a commitment to “tool up” or “retool” as the case may be, in preparation for a career in analytics. The good thing is, after all the time and effort, the newly acquired skills will keep on giving because the analytics field shall continue to be in favor for a very long time.