There is no doubt that data science is shaping the future. As businesses become more digitized, the role of data science is becoming more and more important. If you want to stay ahead of the curve, it's important to learn this technology and get into one of the most promising job roles of Data Science. Data science is the process of extracting insights from data. It blends mathematics, statistics, and computer science to analyze large amounts of data and to improve decision making. The aim of data science is to enable organizations to make better decisions about where to allocate their resources, how to optimize their business processes, and how to serve their customers better.

DARPA, In-Q-Tel, US National Laboratories (examples: Argonne, Oak Ridge) are famous government funding agencies for deep tech on the forward boundaries, the near impossible, that have globally transformative solutions. The Internet is a prime example where more than 70% of the 7.8 billion population are online in 2022, closing in on 7 hours daily mobile usage, and global wealth of $500 Trillion is powered by the Internet. There is convergence between the early bets led by government funding agencies and the largest corporations and their investments. An example is from 2015, where I was invited to help the top 100 CEOs, representing nearly $100 Trillion in assets under management, to look ten years into the future for their investments. The resulting working groups, and private summits resulted in the member companies investing in all the areas identified: quantum computing, block chain, cybersecurity, big data, privacy and data, AI/ML, future in fintech, financial inclusion, ...

DARPA, In-Q-Tel, US National Laboratories (examples: Argonne, Oak Ridge) are famous government funding agencies for deep tech on the forward boundaries, the near impossible, that have globally transformative solutions. The Internet is a prime example where more than 70% of the 7.8 billion population are online in 2022, closing in on 7 hours daily mobile usage, and global wealth of $500 Trillion is powered by the Internet. There is convergence between the early bets led by government funding agencies and the largest corporations and their investments. An example is from 2015, where I was invited to help the top 100 CEOs, representing nearly $100 Trillion in assets under management, to look ten years into the future for their investments. The resulting working groups, and private summits resulted in the member companies investing in all the areas identified: quantum computing, block chain, cybersecurity, big data, privacy and data, AI/ML, future in fintech, financial inclusion, ...

Artificial-intelligence algorithms are processing vast troves of data in electronic medical records, searching for patterns to predict future outcomes and recommend treatments. They are creating early-warning systems to help hospital staff spot subtle but serious changes in a patient's condition that aren't always visible or noticed in a busy unit, and predicting which patients about to be discharged from the hospital are at highest risk of being readmitted. These systems are just one effort in a vast array of AI projects in healthcare--from helping detect cancer in radiology images to identifying which drugs to test on patients with different diseases. But this prediction technology holds especially significant promise to transform care and improve patient safety in ER and ICU cases--as long as the systems can be designed to avoid some of the medical, technological and ethical concerns that have emerged in mixing the science of machine learning with the art of medicine. Sepsis Watch is based on data from 42,000 inpatient encounters, with 21.3% of those patients having experienced sepsis.

Cities are looking at a number of solutions to these problems. Some require disclosure when an AI model is used in decisions, while others mandate audits of algorithms, track where AI causes harm or seek public input before putting new AI systems in place. What would you like to see cities do to make their use of AI more transparent and fair? It will take time for cities and local bureaucracies to build expertise in these areas and figure out how to craft the best regulations, says Joanna Bryson, a professor of ethics and technology at the Hertie School in Berlin. But such efforts could provide a model for other cities, and even nations that are trying to craft standards of their own, she says.

U.S. Northern Command has asked Congress for an additional $29.8 million to buy information technology equipment and to optimize infrastructure for artificial intelligence and machine learning at its joint operations center with the North American Aerospace Defense Command. The upgrades would buttress efforts to ingest, process and aggregate data across the Department of Defense's cloud-computing environment and share intel with forces across all domains, also known as the "information dominance enabling capability," according to a fiscal year 2023 unfunded priority list obtained by Defense News. Air Force Gen. Glen VanHerck, commander of NORTHCOM and NORAD, told lawmakers March 24 that "advanced capabilities" like AI will help give the U.S. an advantage over complex competitors. "Incorporating artificial intelligence and machine learning into existing capabilities will allow users to pull needed information from existing data sets and share that data with leaders at all levels to expand their decision space and options necessary to achieve desirable outcomes," VanHerck said in testimony submitted to the Senate Armed Services Committee. Combatant commands and other leaders send wishlists to the Hill annually.

On Nov. 10, 2021, the New York City Council passed a bill that regulates employers and employment agencies' use of "automated employment decision tools" in making employment decisions. The bill was returned without Mayor Bill de Blasio's signature and lapsed into law on Dec. 11, 2021. The new law takes effect on Jan. 1, 2023. This new law is part of a growing trend towards examining and regulating the use of artificial intelligence (AI) in hiring, promotional and other employment decisions. The new law regulates employers and employment agencies' use of "automated employment decision tools" on candidates and employees residing in New York City.

Privacy watchdogs in Europe are considering a complaint against Apple made by a former employee, Ashley Gjøvik, who alleges the company fired her after she raised a number of concerns, internally and publicly, including over the safety of the workplace. Gjøvik, a former senior engineering program manager at Apple, was fired from the company last September after she had also raised concerns about her employer's approach towards staff privacy, some of which were covered by the Verge in a report in August 2021. At the time, Gjøvik had been placed on administrative leave by Apple after raising concerns about sexism in the workplace, and a hostile and unsafe working environment which it had said it was investigating. She subsequently filed complaints against Apple with the US National Labor Relations Board. Those earlier complaints link to the privacy complaint she's sent to international oversight bodies now because Gjøvik says she wants scrutiny of Apple's privacy practices after it formally told the US government its reasons for firing her -- and "felt comfortable admitting they'd fire employees for protesting invasions of privacy", as she puts it -- accusing Apple of using her concerns over its approach to staff privacy as a pretext to terminate her for reporting wider safety concerns and organizing with other employees about labor concerns. A spokesperson for the ICO told TechCrunch: "We are aware of this matter and we will assess the information provided."

Despite some promising numbers, we still can't be sure whether VR will reach mass consumer adoption within the next few years, or if it risks falling off yet again. If VR does seem to be hitting its big stride, what content should we expect to see? To hazard a guess, let's quickly review the timeline of virtual reality. As early as 1929, Link Trainer, a flight simulator, was built for safely training WWII pilots. In 1989, NASA applied that idea to space.

There are movies I enjoyed in childhood that strongly date themselves, presenting visions of a possible future on dates that are now in the past. The ultimate example is Stanley Kubrick's '2001: A Space Odyssey', depicting the arrival of commercial passenger space flight and sentient machines 21 years ago. Other examples include the wonderfully realised dystopian vision of Ridley Scott's'Blade Runner' (set in Los Angeles in November 2019), the flying DeLorean and'Mr. Fusion' generator of'Back to the Future: Part II' (taking us "forward" to the Hill Valley of 2015) and the war with the machines in'The Terminator' and'Terminator 2: Judgement Day' (where Skynet was brought online and triggered a nuclear war in 1997). The technologies shown in these sci-fi touchstones might not have been realised by the advertised dates, but we're getting very close – and a number of developments suggest that 2024 might be the year that reality catches up with these sci-fi futures.