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Data analytics teams around the world are failing to bring value to their organisations. According to a survey by market research firm Gartner published on Wednesday, most data and analytics leaders reported that their teams do not provide effective value to the organisation. This is despite increased interest from the industry in investing in data and analytics to improve efficiency in business.

The research report noted that while the lack of available talent is the top impediment for which data and analytics teams are failing to add value to their firms, as reported by 39% of executives, other roadblocks, such as lack of resources and funding to support the programmes and lack of support from top management are also hindering data and analytics projects. Besides, culture challenges to accept change and overall poor data literacy in organisations are among other reasons why many of these projects continue to suffer.

At a time when technology companies are already facing the brunt of layoffs in the face of uncertain economic conditions, teams not performing well or failing to add value to the organisation can face dire consequences, believe experts.

US gaming and computer graphics giant Nvidia has joined forces with an Israeli startup to roll out a new hardware system to connect the quantum computer with classical computers.

The new system, Nvidia DGX Quantum, built together with Israel’s Quantum Machines, a developer of a standard universal language for quantum computers, is expected to be first deployed at Israel’s quantum computing research center at the end of this year.

The quantum computing R&D center funded by the Israel Innovation Authority at an investment of NIS 100 million ($27 million), which is headed by Quantum Machines, was established to help Israel build a quantum computer and advance research in the field that would lead to future developments in economics, technology, security, engineering, and science.

United Launch Alliance’s second-to-last Delta 4-Heavy rocket is scheduled to blast off from Cape Canaveral April 20 with a classified cargo for the U.S. government’s spy satellite agency, a mission that will mark ULA’s first flight of the year, officials announced this week.

ULA and the National Reconnaissance Office, the customer for the national security mission, announced the target launch date Tuesday.

The mission is known as NROL-68, and is expected to loft a large surveillance satellite into geosynchronous orbit, joining a fleet of government-owned spacecraft designed to eavesdrop on the communications of adversaries and foreign powers. But the NRO does not disclose details about its missions, and independent analysts use information about the rocket’s lift capability, trajectory, and similar past launches to predict the purpose of spy satellite missions.

GitHub Copilot is also coming to pull requests to help developers create AI-generated descriptions. Tags are automatically completed by GitHub Copilot based on what code has changed, and developers can then review and edit them.

“At GitHub we invented the pull request over a decade ago, so the natural next step for us was to bring Copilot into the pull request,” says Dohmke. “You can actually ask Copilot to describe the pull request to you, or you can ask Copilot to generate tests.”

And just in time for the “Last of Us” series. 😂


A drug-resistant fungus Candida Auris is spreading in US hospitals at an alarming rate. Those with fragile immune systems are at risk. What happens if it enters your country or your neighbourhood? Should you be scared? Molly Gambhir reports.

#Gravitas #CandidaAuris #Fungus.

For the first time ever, a dust storm has been observed outside of our Solar System — and naturally, it was the powerful James Webb Space Telescope that made the discovery.

A press release on the Space Telescope Science Institute’s Webb-site details the JWST-detected storm, which took place on exoplanet VHS 1,256 b, a “massive brown dwarf” planet located about 40 lightyears from Earth.

“Ever had hot sand whip across your face?” the press release quips. “That’s a soothing experience compared to the volatile conditions discovered high in the atmosphere of planet VHS 1,256 b.”

Electronic neurons made from silicon mimic brain cells and could be used to treat autism1.

Researchers plan to use the technology in conjunction with machine learning to retrain damaged or atypical neurons and restore function in the brains of people with Alzheimer’s disease, autism or other conditions.

Another team attempted to make artificial neurons in 2015 from a conductive organic chemical, but that version oversimplified brain signaling and was too large to implant in a human brain2.