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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.

Big Memory Unleashes Big (Real Time) Data

In this special guest feature, Charles Fan, CEO of MemVerge, believes that in the years ahead, the data universe will continue to expand, and the new normal will be real-time analytics and AI/ML integrated into mainstream business apps … but only if in-memory computing infrastructure can keep pace. Therefore the bottom line is that Big Memory Computing–where memory is abundant, persistent, and highly-available–will succeed to unleash Big (real-time) Data.

Truera Launches Model Intelligence Platform to Solve Machine Learning’s Black Box Problem

Truera, which provides the Model Intelligence platform, emerged from stealth to launch its technology solution that removes the “black box” surrounding Machine Learning (ML) and provides intelligence and actionable insights throughout the ML model lifecycle. The platform is already deployed at and delivering value to a number of early Fortune 100 customers in banking and insurance.

TOP 10 insideBIGDATA Articles for July 2020

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.

Book Review: Deep Learning with TensorFlow 2 and Keras

If you’re a data scientist who has been wanting to break into the deep learning realm, here is a great learning resource that can guide you through this journey. It’s pretty much an all-inclusive resource that includes all the popular methodologies upon which deep learning depends: CNNs, RNNs, RL, GANs, and much more. The glue that makes it all work is represented by the two most popular frameworks for deep learning pratcitioners, TensorFlow and Keras.

Using AI to Optimize Pricing

In this contributed article, Sylvain Rougemaille PhD, Price Optimizer Product Manager, and Gabriel Smith, Chief Evangelist and Vice President of Innovation, at Pricefx, discuss how AI as applied to pricing must be transparent, defensible and pragmatic with proven ways to help sales win more business and increase deal size. It is also not a “one size fits all” problem, so the models must reflect the insight of the management team in order to be most effective.

“Above the Trend Line” – Your Industry Rumor Central for 7/29/2020

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.

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.

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.