Marketing, Bitvore

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Preparing for the New European ESG Due Diligence Legislation: Developments in Germany and France

Nations throughout the European Union are in the process of debating and taking steps to approve due diligence legislation to manage the regulation of environmental, social, and corporate governance [...]

Supply Chain Resilience Doesn’t Happen By Accident: Counter Uncertainty with intelligence form Unstructured Data

The first signs of the semiconductor chip shortage that currently impacts nearly every industry and manufacturing vertical imaginable began in 2018 when ongoing geopolitical trade disputescomponent [...]

Bitvore's Elizabeth Pritchard Joins Innodata's Absolute AI Podcast

Elizabeth Pritchard, CEO of Bitvore, will join Innodata's "Absolute AI: Conversations With the Humans Behind Artificial Intelligence" podcast on Tuesday, September 28th, 2021. Elizabeth will share [...]

Investors Should Monitor Portfolios for Supply Chain Risk

Think the pandemic shortages are over?

In August 2021, the famed UK restaurant chain Nando’s had to close over 50 of its locations because they ran out of chicken—literally the one thing it sells. [...]

Net Zero Or Just Greenwashing? What to Look Out For

Large companies have a huge incentive to go green. There’s not just saving the planet and our delicate ecosystem to consider—no, that’s just a side effect. The real benefit of going green is that 68% [...]

Assessing Climate Risk Using Quant and Unstructured Data

Major banks are integrating climate change related data into their risk management frameworks to manage loss risk. A new story on Goldman Sachs points out the finance leader’s efforts to understand [...]

New SEC Disclosure Requirements May Not Be Enough to Assess a Company's Climate Impact

Investors are urging the SEC to clarify how it measures sustainability/environmental (the E in ESG) risks—and it looks as though it is beginning to respond. A webinar from SEC Chair Gary Gensler has [...]

How Bitvore Builds AI One Step at a Time

There’s a common perception that to work correctly, AI must process vast reams of data. Indeed, there’s no denying that AI developed in this way can get a lot done—but the problem is that this method [...]

Running Up Against the Limits of Common Sense in Artificial Intelligence

One problem in artificial intelligence is a tendency to run out of training data. There are occasional instances in which there is not enough training data to train an AI model fully. In [...]

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