New York Times Investigates How in America ‘the Virus Won’
"Invisible outbreaks sprang up everywhere. The United States ignored the warning signs," writes the New York Times, in a detailed interactive data visualization. "We analyzed travel patterns, hidden infections and genetic data to show how the epidemic spun out of control." By mid-February, there were only 15 known coronavirus cases in the United States, all with direct links to China... The patients were isolated.IBM mocks a startup and the question is what are you doing, IBM?
Why would the great Big Blue make a barbed social media "joke" about a much smaller data warehouse company?The Future of Fintech: AI & Blockchain
Sweeping global regulations, the growing penetration of digital devices, and a slew of investor interest are catapulting the fintech industry to new highs. Of the many emerging technologies poised to transform financial services, two of the most promising and mature are artificial intelligence (AI) and blockchain. 74% of banking executives believe AI will transform their industry completely, and 46% of global financial services employees expect blockchain to improve transparency and data management.See the rest of the story at Business InsiderSee Also:US banks saw record $2 trillion rise in deposits since coronavirus outbreakCurrent surpasses 1 million accounts, propelled by lower-wage earnersPPP loan recipients are facing forgiveness application delays as US banks seek guidance from the SBA$1.4 billion in COVID-19 stimulus checks went to dead people as federal agencies botch data sharing, says GAO
According to the GAO, 1.1 million payments went to dead people to reach that $1.4 billion tally, but the crux of the issue is data management across the US government.Maybe you can teach an old dog new tricks: Information Builders declares itself ‘the new ibi’, touts AI data tools
Rebrand accompanies tech launches as CEO hits 18 months in job Information Builders, that 45-year-old data management biz, has rolled out automated analytics wares and a corporate rebranding with a view to profiting off a burgeoning market for ML-powered enterprise data tools.…Databricks acquires Redash, a visualizations service for data scientists
Data and analytics service Databricks today announced that it has acquired Redash, a company that helps data scientists and analysts visualize their data and build dashboards around it. Redash’s customers include the likes of Atlassian, Cloudflare, Mozilla and Soundcloud and the company offers both an open-source self-hosted version of its tools, as well as paid hosted options. The two companies did not disclose the financial details of the acquisition.Data Lakehouse, meet fast queries and visualization: Databricks unveils Delta Engine, acquires Redash
Data warehouses alone don't cut it. Data lakes alone don't cut it either. So whether you call it data lakehouse or by any other name, you need the best of two worlds, says Databricks. A new query engine and a visualization layer are the next pieces in Databricks' puzzle.Alphabet’s CapitalG leads $27.5 million round in India’s Aye Finance
CapitalG, the growth equity arm of Alphabet, is doubling down on its bet on Aye Finance, an Indian startup that operates a digital lending platform for small businesses. On Wednesday, the Gurgaon-based startup said it had raised $27.5 million in its Series E financing round led by CapitalG, which has also led one of its previous rounds. Existing investors LGT Lightstone, Falcon Edge Capital, A91 Partners and MAJ Invest also participated in the round, which brings the six-year-old Indian startup’s to-date equity funding to $91 million.Bend me, shape me, anyway you want me: Teradata talks up cloud integrations in bid to fend off native competition
Would you like it in a box? Would you like it with a fox? Teradata, the enterprise data warehouse provider with customers including HSBC and Unilever, has pushed out a list of cloud platform integrations and enhancements in an effort to keep up with cloud-native rivals.…Machine learning models trained on pre-COVID data are now completely out of whack, says Gartner
That AI-powered product and price recommendation engine? Useless now Machine learning models built for doing business prior to the COVID-19 pandemic will no longer be valid as economies emerge from lockdowns, presenting companies with new challenges in machine learning and enterprise data management, according to Gartner.…FOLLOW US:
