Nine privacy, social justice, and consumer groups have called for the US government to block Google’s $2.1-billion acquisition of Fitbit, a maker of wearable fitness devices. Their concern? Privacy and antitrust.
The activists wrote in their letter to the Federal Trade Commission that the deal, if allowed to go through, would consolidate Goggle’s market dominance, which we have also pointed out in our previous notes on Google and Fitbit and Google and Ascension. For our point of view on Google and privacy, see the note Google Has Personal Medical Data of Up to 50 Million Americans: Project Nightingale.
The “big five” – Apple, Amazon, Alphabet (Google’s holding company), Microsoft, and Facebook – have been the subject of scrutiny by politicians, regulators, journalists, and civic groups, with multiple calls to break them up. They are monopolizing markets and stifling competition. But the more immediate concern and question in people’s minds is: How much personal data have these companies accumulated and what do they do with it?
If the data is used is to build apps to save people’s lives, improve the quality of life, etc. – sure! But if it is used to sell more ads and further consolidate their market dominance – no, thank you.
We are monitoring the developments and will be reporting them, so stay tuned.
Transparency, explainability, and trust are pressing topics in AI/ML today. While much has been written about why these are important and what organizations should do, no tools to help implement these principles have existed – until now.
IBM is changing the terms of its ubiquitous Passport Advantage agreement to remove entitled discounts on over 5,000 on-premises software products, resulting in an immediate price increase for IBM Software & Support (S&S) across its vast customer landscape.
The beauty of good story telling is its applicability to the most unexpected situations. In 1871, Lewis Carroll wrote about the evil Queen trying to convince Alice to work for her, with a promise of “jam to-morrow and jam yesterday – but never jam to-day.” Little did he know that this one statement would be used by economists, politicians, playwrights, and musicians long after he wrote it – it's time to add data analysts to the list.
PHEMI is a data privacy solution focused on keeping data-processing activities secure by redacting information based on the role of the accessor. Thus, allowing such data to be used for multiple use cases without compromising privacy.
Recently I attended the inaugural Emotion AI conference, organized by Seth Grimes, a leading analyst and business consultant in the areas of natural language processing, text analytics, sentiment analysis, and their business applications. So, what is emotion AI, why is it relevant, and what do you need to know about it?
Board International follows the trend of delivering solutions by opening a solution marketplace while strengthening customer trust by getting SOC-2 and SOC-3 certifications.
SortSpoke’s novel approach to machine learning answers a longstanding problem in financial services – how to efficiently extract critical data from inbound, unstructured documents at 100% data quality.
Amazon is offering its cashierless store technology to other retailers. The technology known as “Just Walk Out” eliminates checkout lines, offering an “effortless” shopping experience and shifting store associates to “more valuable activities”.
As the COVID-19 pandemic is shutting down whole countries, a few of you may be wondering whether AI can help create a vaccine for the virus responsible. After all, AI is magic, right?