All the sessions from Transform 2021 are available on-demand now. The pandemic spurred investments in AI across nearly every industry. That's according to CB Insights' AI in the Numbers Q2 2021 report, which found that AI startups attracted record funding -- more than $20 billion -- despite a drop in deal volume. While the adoption rate varies between businesses, a majority of them -- 95% in a recent S&P Global report -- consider AI to be important in their digital transformation efforts. Organizations were expected to invest more than $50 billion in AI systems globally in 2020, according to IDC, up from $37.5 billion in 2019. And by 2024, investment is expected to reach $110 billion.

All the sessions from Transform 2021 are available on-demand now. Ethics and artificial intelligence have become increasingly intertwined due to the pervasiveness of AI. But researchers, creators, corporations, and governments still face major challenges if they hope to address some of the more pressing concerns around AI's impact on society. Much of this comes down to foresight -- being able to adequately predict what problems a new AI product, feature, or technology could create down the line, rather than focusing purely on short-term benefits. "If you do believe in foresight, then it should become part of what you do before you make the product," AI researcher and former Googler Margaret Mitchell said during a fireside chat at VentureBeat's Transform 2021 event today.

This summer, the Atlantic Council’s GeoTech Center published a new bipartisan report of Commission on the Geopolitical Impacts of New Technologies and Data (www.atlanticcouncil.org/geotechreport).

As a result, more than two thirds (68%) are calling on their employers to deploy more AI-based technology to help them execute their daily work better and faster. According to IDC, global spending on AI technologies reached $50.1 billion in 2020, a figure that is expected to double in the next four years. So it's no surprise that AI is transforming the workplace as a result. But while employees were initially skeptical of this technology, new data suggests perception is shifting. This new study, conducted across the US and UK, sought to understand how workers across various lines of business – from HR to Finance to Marketing, and more – feel about working with AI technologies today.

Representatives from Google have told an Australian Parliamentary committee looking into foreign interference that the country has not been the target of coordinated influence campaigns. "We've not seen the sort of foreign coordinated foreign influence campaigns targeted at Australia that we have with other jurisdictions, including the United States," Google director of law enforcement and information security Richard Salgado said. "Some of the disinformation campaigns that originate outside Australia, even if not targeting Australia, may affect Australia as collateral ... but not as a target of the campaign. "We have found no instances of foreign coordinated influence campaigns targeting Australia." While acknowledging campaigns that reach Australia do exist, he reiterated they have not specifically targeted Australia. "Some of these campaigns are broad enough that the disinformation could be, sort of, divisive in any jurisdiction in which it is consumed, even if it's not targeting that jurisdiction," Salgado told the Select Committee on Foreign Interference Through Social Media. "Google services, YouTube in particular, which is where we have seen most of these kinds of campaigns run, isn't really very well designed for the purpose of targeting groups to create the division that some of the other platforms have suffered, so it isn't actually all that surprising that we haven't seen this on our services." Appearing alongside Salgado on Friday was Google Australia and New Zealand director of government affairs and public policy Lucinda Longcroft, who told the committee her organisation has been in close contact with the Australian government as it looks to prevent disinformation from emerging leading up the next federal election. Additionally, the pair said that Google undertakes a "constant tuning" of the artificial intelligence and machine learning tech used. It said it also constantly adjusts policies and strategies to avoid moments of surprise, where Google could find itself unable to handle a shift in attacker strategy or shift in volume of attack. Appearing earlier in the week before the Parliamentary Joint Committee on Corporations and Financial Services, Google VP of product membership and partnerships Diana Layfield said her company does not monetise data from Google Pay in Australia. "I suppose you could argue that there are non-transaction data aspects -- so people's personal profile information," she added. "If you sign up for an app, you have to have a Google account.

The continued contribution of the drug development community toward improving the quality of lives of patients, researchers, and the public at large, is and will continue to be highly dependent upon the careful execution of strategies to make vast amounts of data meaningful and usable. This is achievable by pairing data with powerful analytics and then using those insights to develop safe and effective processes and products. Although the drug development enterprise is undergoing major transformation, literature about what the sector should do to support and prepare its workforce for these changes is scant. What follows is a discussion of original research conducted by the Tufts Center for the Study of Drug Development (Tufts CSDD) to address workforce development in the era of digitization. The research is primarily based on an in-depth discussion with thought leaders and senior executives. Tufts CSDD identified recurring themes for discussion in articles in academic journals and the trade press between 2015 and 2019. Discussion topics included: (1) challenges and opportunities caused by the sector's digital transformation, (2) skills and competencies of future drug development professionals, (3) new roles that are expected to emerge within drug development, (4) changes in talent recruitment and retention practices, and (5) the reshaping of corporate mindsets and cultures to become digitally proficient organizations.

TORONTO, ON / ACCESSWIRE / July 28, 2021 / DigiMax Global Inc. (the'Company' or'DigiMax') (CSE:DIGI)(OTC:DBKSF), a company that provides artificial intelligence ("AI") and cryptocurrency technology solutions, is pleased to announce that it has signed its first collaboration agreement to expand CryptoHawk services into Hong Kong and surrounding areas. CryptoHawk is an Artificial Intelligence driven, price-trend prediction tool that can be profitably used by any investor interested in trading Bitcoin or Ethereum. The tool is different as it uses AI and machine learning to capture profit from the volatility of crypto currencies, rather than incur the risk of buy-and-hold investments. As previously announced by the Company, in its first full month of operation in June 2021, CryptoHawk signals achieved a 1-month, long-short return on BTC of more than 25% compared to a buy-and-hold return for the same period of a loss of 10%. In both up and down markets, CryptoHawk has the potential to deliver subscribers much higher returns when trading.

In the wake of the pandemic, the outlines of a new kind of digital workplace are starting to emerge. Get a glimpse of the future in this short video. Large numbers of employees have adjusted successfully to working remotely. Many businesses are looking for new ways to support online productivity and strengthen business resiliency with remote capabilities, while ensuring a safe return to work for on-site employees. So what does the future of work look like?

Artificial Intelligence is transmuting the system and methods of the healthcare industries. Artificial Intelligence and healthcare were found together over half a century. The healthcare industries use Natural Language Processes to categorize certain data patterns. Artificial Intelligence can be used in clinical trials, to hasten the searches and validation of medical coding. This can help reduce the time to start, improve and accomplish clinical training.

Click to learn more about author Ahmer Inam. How might artificial intelligence (AI) help physicians diagnose medical conditions more effectively? This question grows more important each year. Approximately 400,000 hospitalized patients experience some type of preventable harm each year, costing the health care industry $20 billion, according to NCBI. Mistakes hurt everyone – first and foremost patients, and also the medical staff who grapple with the emotional and mental toll of committing a misdiagnosis.