Innovation

Big Data

Following Wonder Woman Gal Gadot's announcement last week that she would be joining forces with healthcare giant K Health, the company is now announcing it will provide primary care to 10 million more Americans

Is it finally time to prioritize first-party data?

Like $38 billion Databricks, Anyscale, which makes software for scaling AI apps, is led by a group of Berkeley academics.

The pandemic has dealt a huge blow to women. Progress for women is stalled due to lack of home resources. There is also a deep problem brewing on policy and compensation for women. Now, women, unlike men, must work harder just to catch up to become equals. Can technologies like AI be of help?

Time and again, American consumers have been forced to endure data breaches and watch powerlessly as their sensitive information is hand-delivered to questionable actors. It’s time to take action. The well-being of our nation, and other nations abroad, requires it.

How the NFL is using data and analytics under their new Chief Data and Analytics officer.

This article discusses how Universities can be centers of entrepreneurship excellence, using UC Berkeley as a case study. By driving cross-disciplinary collaboration and new models of IP ownership, shared-carry funds, and easy lab access, Berkeley is leading social change through entrepreneurship.

Data gets stale. It doesn’t ‘go bad’ as such, it’s usually still consumable much like the way a rotten slice of meatloaf isn’t, but its nutritional value may have long since left the building.

As the tech giant’s regulatory troubles continue, founder Jack Ma is nearly $30 billion poorer than he was a year ago.

We needn’t succumb to contracts of adhesion with labyrinthine pages of legalese just to see a pic of a loved one’s new baby. Instead, modern tech can be harnessed to improve our lives if it is built with the intention of helping us, not breaking down our mental health for profiteers of Big Data.

AI has been in the news a lot lately, and not all for good reasons. What are the issues? I am write about some of them here.

H1 cofounders Ariel Katz and Ian Sax have scraped global healthcare data into a LinkedIn-like interface to help biopharma companies figure out the best doctor to involve in a clinical trial or educate about a new therapy.

The new Xilinx Alveo U55C’s smaller form factor and lower peak power makes it suitable for a wider array of systems and easier for customers to integrate into existing infrastructure.

NVIDIA’s GTC and SC21 show how specialized processors such as GPUs and DPUs are helping to incorporate AI capabilities into more applications, enabling digital twins of just about everything. Zettar, DDN and NVIDIA demonstrate 3 PB/day data movement with up to 8PB/day possible by Spring 2022.

Organizations in every vertical industry are tasked with managing a living ‘data value chain’ and its movement throughout the business, so... the notion of a ball on the field being passed between various different players doesn’t seem too ridiculous.

In this article, we look at privacy, data, and corporate power with insights from Professor Ari Waldman, author of the book 'Industry Unbound' about the challenges of data privacy and corporate power of technology companies.

Over time, big data has edged towards being a kind of technology fundamental, so what matters now is what we do with data insights and how we combine machine ‘thought’ derived from Artificial Intelligence and its Machine Learning abilities with our own human intuition and decision-making power.

Projects built upon collaboration between tech and humans—rather than those attempting to replace us with innovation—are thriving. As AI and Big Data mature in the medicine field, they are being harnessed for a new and surprising battle: the fight against the opioid epidemic ravaging America

I interviewed the Director of the U.S. National Science Foundation, Dr. Sethuraman Panchanathan, to research how the United States has been ahead of other nations in science and technology. This blog focused on understanding how NSF is funding programs while ensuring diversity in research.

DNA holds great promise for very dense data storage. Current costs for writing and reading data from DNA are much higher than conventional storage technologies. If the decline in DNA costs is higher than other storage technologies it could become a competitor, particularly for archival storage.