All the sessions from Transform 2021 are available on-demand now. Women in the AI field are making research breakthroughs, spearheading vital ethical discussions, and inspiring the next generation of AI professionals. We created the VentureBeat Women in AI Awards to emphasize the importance of their voices, work, and experience and to shine a light on some of these leaders. In this series, publishing Fridays, we're diving deeper into conversations with this year's winners, whom we honored recently at Transform 2021. Check out last week's interview with the winner of our AI research award.

All the sessions from Transform 2021 are available on-demand now. As part of Transform 2021, we're excited to announce the full list of nominees for the third annual Women in AI Awards. While only a handful will ultimately be chosen as winners across the five categories, we consider all the women below to be the trailblazers and innovators steadily advancing the vital contribution of women in AI. The Awards are part of VentureBeat's continuing commitment to supporting diversity and inclusion in AI. This year that commitment includes featuring more women and people of color across the conference content, and in our editorial coverage.

All the sessions from Transform 2021 are available on-demand now. The adoption of cloud technologies continues to accelerate. According to the newest report from Canalys, in Q2 2021, companies spent $5 billion more on cloud infrastructure services compared to the previous quarter. While a number of factors are responsible, including an increased focus on business resiliency planning, the uptick illustrates the effect AI's embracement has had -- and continues to have -- on enterprise IT budgets. In a recent survey, 80% of U.S. enterprises said they accelerated their AI adoption over the past two years.

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.

All the sessions from Transform 2021 are available on-demand now. Women in the AI field are making research breakthroughs, spearheading vital ethical discussions, and inspiring the next generation of AI professionals. We created the VentureBeat Women in AI Awards to emphasize the importance of their voices, work, and experience, and to shine a light on some of these leaders. In this series, publishing Fridays, we're diving deeper into conversations with this year's winners, whom we honored recently at Transform 2021. Briana Brownell, winner of VentureBeat's Women in AI entrepreneur award, didn't enter this field to earn accolades.

All the sessions from Transform 2021 are available on-demand now. An Amazon-built resume-rating algorithm, when trained on men's resumes, taught itself to prefer male candidates and penalize resumes that included the word "women." A major hospital's algorithm, when asked to assign risk scores to patients, gave white patients similar scores to Black patients who were significantly sicker. "If a movie recommendation is flawed, that's not the end of the world. But if you are on the receiving end of a decision [that] is being used by AI, that can be disastrous," Huma Abidi, senior director of AI SW products and engineering at Intel, said during a session on bias and diversity in AI at VentureBeat's Transform 2021 virtual conference.

All the sessions from Transform 2021 are available on-demand now. With the rise of on-demand TV shows and movies, viewers have a dizzying array of entertainment options to explore. Cable provider Comcast has been helping customers navigate this expansive content landscape using AI via its Xfinity voice remote. The remote taps machine learning to help customers decide what to watch and when to watch it, providing users with a tailored at-home video experience, Comcast CTO Matthew Zelesko explained at VentureBeat's virtual Transform 2021 conference. "The content landscape has grown dramatically. And we realized that it was much harder for customers to determine even simple questions, like what to watch and where to watch it," Zelesko said.

All the sessions from Transform 2021 are available on-demand now. As the world becomes increasingly reliant on technology, organizations have to consider the growing threats to their supply chain. Goldman Sachs principal engineer Michael Mattioli and AMD CTO Mark Papermaster spoke about this issue at VentureBeat's virtual Transform 2021 conference last week. They stressed that this is not a problem any single company can solve alone -- changing the ecosystem will require industrywide collaboration. The supply chain is "remarkably complex," Mattioli said, as it goes all the way back to the design of the chip or board, which is then sent to the foundry to be manufactured.

All the sessions from Transform 2021 are available on-demand now. Duke Energy's AI journey began because the utility company had a business problem to solve, Duke Energy chief information officer Bonnie Titone told VentureBeat's head of AI content strategy Hari Sivaraman at the Transform 2021 virtual conference on Thursday. Duke Energy was facing some significant challenges, such as the growing issue of climate change and the need to transition to clean energy in order to reach net zero emissions by 2050. Duke Energy is considered an essential service, as it supplies 25 million people with electricity daily, and everything the utility company does revolves around a culture of safety and reliability. The variables together was a catalyst for exploring AI technologies, Titone said, because whatever the company chose to do, it had to support the clean energy transition, deliver value to customers, and find a way for employees to work and improve safety.

All the sessions from Transform 2021 are available on-demand now. "An underlying issue that most enterprise organizations struggle with is that their data is a disaster," noted Anthony Deighton, chief product officer at AI-powered data unification company Tamr. Deighton was moderating a panel at VentureBeat's Transform 2021 event today, which delved into practical and academic perspectives on how companies -- particularly financial institutions -- can use machine learning (ML) to improve the quality and reliability of their data. Deighton was joined by Tamr cofounder Michael Stonebraker, winner of the 2015 Turing award and a renowned computer scientist who specializes in database research; and Jonathan Holman, head of digital transformation at financial services company Santander U.K., a Tamr customer. So what is the problem that Tamr, ultimately, is setting out to solve?