Bitcoin went red again on Tuesday (Aug. 21), with a slip of about 50 basis points on the day to a bit more than $6,000. The crypto world, of course, is waiting with bated breath to see what might happen with the U.S. Securities and Exchange Commission (SEC) decision to approve or decline a bitcoin exchange-traded fund.
The dip comes against other government scrutiny of cryptocurrencies. The U.S. Senate Committee on Energy and Natural Resources looked into the costs that are associated with crypto mining and how the blockchain might be used in public applications.
As reported by CoinDesk, “Like other crypto-related hearings on Capitol Hill, the hearing — which featured a range of public and private sector speakers — served in part as an informational session for lawmakers who aren’t very familiar with the technology.”
Among those who testified were Robert Kahn, CEO and president of the Corporation for National Research Initiatives; Paul Skare, chief cybersecurity and technical group manager of the Pacific Northwest National Laboratory; and other executives and academics across private and public entities both serving and observing energy and blockchain. CoinDesk noted that the testimony delved into energy use tied to mining.
The public blockchain may use as much as one to five gigawatts worldwide, according to some witnesses. Elsewhere, the discussion turned to transaction privacy and whether it might be possible for blockchain to be utilized to track shipments between nations.
Separately in Australia, Gobbill, an automated billing service, has linked with exchange CoinTree to let households and small businesses pay bills with crypto. That announcement came Monday (Aug. 20). Through the partnership, consumers and firms can use the digital tokens stored in wallets to pay those outstanding bills. The statement between the firms noted that those entities and individuals holding Gobbill accounts can add the links to the exchange’s wallet and pay bills across cryptos or cards. For now, the only crypto accepted is bitcoin, as Cryptovest noted.
Wayfair has reduced the time needed to curate product listings by 67%, saved hundreds of thousands of dollars and improved some conversion rates by 2% by deploying Google’s artificial intelligence (AI) technologies.
The online retailer shared these results in a Sunday (Jan. 10) press release emailed to PYMNTS announcing that it is using Google’s Gemini models on Vertex AI to enhance its product catalog and unlock “the next generation of retail experiences.”
“With Google Cloud, we’ve been able to efficiently scale and enrich our product catalogs, enabling us to support a more seamless and engaging shopping experience for our customers,” Wayfair Chief Technology Officer Fiona Tan said in the release.
Gemini on Google Cloud improved Wayfair’s time-to-market by automatically categorizing products across its 30 million product portfolio, delivered cost savings by eliminating the need to manually tag attributes like color and style, and improved conversion rates by increasing the accuracy of product attributes and improving the coverage of attribute tags in the retailer’s catalog, according to the release.
The technology also automatically catches errors in product dimensions and flags inappropriate materials, per the release.
Wayfair is also using Gemini for Google Workspace to boost employees’ productivity, according to the release.
The retailer is using AI features in this suite of productivity apps to draft and respond to emails, summarize and proofread documents, build presentation templates and gain expertise in new areas, per the release.
“By harnessing the power of Gemini and Google Workspace, Wayfair is not only automating complex tasks and boosting employee collaboration, but also creating more personalized and engaging experiences for every shopper,” Matt Renner, president, global revenue at Google Cloud, said in the release.
The rise of large language models (LLMs) has thrust generative AI into the driver’s seat of retail technologies, prompting brands to reassess their strategies, according to the PYMNTS Intelligence and AI-ID collaboration, “What Generative AI Has in Store for the Retail Industry.”
The report found that 92% of companies are using AI-driven personalization to drive growth and that 77% of business leaders rank generative AI as the most impactful emerging technology.