Let’s think about what data management should look like in the future – tune in here next week Webcast What’s your tech infrastructure going to look like in the next few months or years? You know, once we get past the current situation and find time to start innovating again. All of which may come sooner than you think.…
Palantir logo on New York Stock Exchange.
Noam Galai/Getty Images
Palantir jumped as much as 6% Tuesday after it announced a partnership with PG&E to improve the safety of California's electric grid.
PG&E is set to use Palantir's Foundry software to streamline data management and collection.
This comes just a week after Citi analysts downgraded Palantir to "sell" in a note that warned the stock could be "vulnerable" in 2021.
The best thing about 2020 is we survived it. No need to say what the worst thing is, it’s hands down our collective stupidity in the choices we’ve made. That reality has forced us to refactor what we do moving forward.
If we had correctly understood the massive changes ahead, we would not be wondering when we will return to the old, new, or any normal.
Bloom & Wild, a London-based startup that takes an updated and online approach to the very traditional business of ordering and delivering flowers, has seen business blossom in the last year. And today, it is announcing a big round of funding to help it double down on the opportunity ahead.
The company has raised £75 million ($102 million), a Series D that it plans to use to continue expanding across Europe (in addition to the UK, it operates today in Ireland, France, Germany and Austria) as it also continues to build out the business through technology, hiring new talent, thinking up more ideas and new partnerships, such as a new deal with supermarket giant Sainsbury’s to spearhead a new brick-and-mortar push.
Israel’s startup ecosystem raised record amounts of funding and produced 19 IPOs in 2020, despite the pandemic. Now tech companies across industries are poised for an even better year, according to more than a dozen investors we talked to in the country.
Mainstay sectors like cybersecurity continue to matter, they said, but are maturing (more about that here). Some people are more excited by emerging areas like artificial intelligence, which has been a focus of the country’s military for years, and like cybersecurity is now producing many fresh teams of founders.
Facebook is harnessing the power of artificial intelligence to help doctors predict whether they will need more resources, such as extra oxygen to care for COVID-19 patients in hospitals. CNET reports: The social network said Friday it developed two AI models, one based on a single chest X-ray, and another from a series X-rays, that could help forecast if a patient infected by the coronavirus is likely to get worse.
It is no secret that email technology has then significantly shaped by new developments with big data. We have talked extensively about the benefits of using big data in the field of email marketing. However, there are plenty of other novel data technology applications that email providers are rolling out.
Over the last few years, we have already seen a number of massive, data-driven changes in email technology.
Big data technology is becoming extremely important for project management in 2021. A growing number of companies are finding new ways to use data-driven tools to streamline various aspects of their projects, including editing workflows.
We talked before about editing data science workflows. Similar technology can be useful for improving overall workflows.
Data-Driven Technology is Invaluable for Editing Workflows
The ability to produce good video impresses the heck out of production and management.
Join us later this month to see what modern data management looks like Webcast There’s been a lot of talk about resilience lately. But while it’s one thing working through mid-pandemic self-care and wellness prescriptions for the individual, what does resilience mean when it comes to your company and its data?…
Machine learning has drastically changed the direction of the financial industry. In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. However, the real value of machine learning appears to be with increasing performance of stock investing.
Investors are looking towards new machine learning capabilities to get more value out of their strategies by choosing better performing securities.