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Be More Da Vinci: Why Data Scientists Should Be Working with Designers, Futurists and Business Executives

In this special guest feature, Michael Kanazawa, EY Global Innovation Realized Leader and EY Americas Advisory Growth Strategy Leader, discusses why data scientists and engineers should be working with designers, futurists, and business executives as the way to lead the future. Failing to do so risks being consigned to the past.

Big Data and Medical Research

In this contributed article, Magnolia Potter believes that the use of big data in medical research and advancement is of paramount importance. Artificial intelligence and machine learning are pioneering the ethical collection of medical data, the discovery of new drug therapies, and improved outcomes for patients. By analyzing public health concerns in real-time, big data can advance medical research in multiple fields, improve patient care, and prevent the spread of deadly diseases.

Customers Want Experiences, Not Chatbots

In this special guest feature, Richard Smullen, CEO of Pypestream, discusses how moving forward, conversational experiences, not automated text transactions, need to be the priority for brands. Companies using CI and other automation will provide the seamless experiences customers expect and create true engagement using AI.

Artificial Intelligence Startups Raised $61.6bn in Total Funding, a 35% Jump in a Year

As the algorithms and data-driven methods continue to develop, venture capitalists are becoming more interested to invest in artificial intelligence startups providing the most beneficial solutions. According to data gathered by BuyShares.co.nz, the total amount of funds AI startups raised over time reached $61.6bn in the second quarter of 2020, a 35% increase in a year.

How New Hardware Can Drastically Reduce the Power Consumption of Artificial Intelligence

In this contributed article, Diederik Verkest, Ph.D. from imec, points out that to make predictions, AI relies on the processing of large amounts of data, a process that takes a lot of energy. Imec develops solutions to drastically reduce that energy consumption. A new chip, in which these calculations are performed directly in the memory by means of analogue technology, is a major breakthrough in this field.

Video Highlights: Accelerating the ML Lifecycle with an Enterprise-Grade Feature Store

Our friend Mike Del Balso, the co-founder and CEO of Tecton who created the Uber Michelangelo machine learning platform, and customer Geoff Sims, a Principal Data Scientist at Atlassian, gave the talk below at the recent Spark + AI Summit.

How to Launch Your Data Science Career

Are you interested in getting into the field of data science? We don’t blame you. Data science is an exciting field that’s constantly changing and developing, which gives data scientists’ work endless potential. Here are six tips for ways that you can launch your data science career.

The Impact of Data Science On Customer Intelligence, Space Strategy and Supply Chain Optimization

In a new white paper recently released, “The Impact of Data Science On Customer Intelligence, Space Strategy and Supply Chain Optimization”, 84.51° explains how this innovative data science has become embedded- specifically in three of its missions: Customer Intelligence, Space Strategy and Supply Chain Optimization.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2020

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Keys to Managing Real Time Data During COVID-19

n this special guest feature, Ben Schein, VP of data curiosity at Domo, draws on his many years of experience with real time data working at Target during the days of Black Friday to the current day where he works to monitor a new COVID-19 tracker. There is something very powerful and culture changing about being connected to your data (and by extension your customer or constituent or patient) in real time.