Japan is encouraging energy importers to secure liquefied natural gas (LNG) past 2050 -- the deadline the second-biggest buyer of the fossil fuel has set itself for net zero emissions. Several of the country's largest LNG buyers are considering 20-year supply deals with projects that would start after 2030, according to people with knowledge of the discussions, who asked not to be named as the negotiations are private. They aim to deploy technology such as carbon capture and storage to mitigate the emissions from burning the super-chilled fossil fuel under Japan's national target. The government expects a boom in artificial intelligence, data centers and semiconductor chip-making factories to revive power demand, which has been tracking a declining population for years. It sees LNG as vital to energy security, even as it works on increasing renewable energy generation and restarting nuclear reactors idled after the 2011 Fukushima No. 1 disaster.

All across Europe, we are increasingly using artificial intelligence (AI) systems – sometimes without even realising it. Search engines, chatbots, machine translations, video games and other applications are now part of everyday life. Artificial intelligence can be a great asset to improve education and training for learners, educators and school leaders. However, it is important to better understand its ramifications.

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. The use of technology has helped make live events a better overall experience for attendees in a wide variety of ways. Guests can now book tickets online, look up valuable information on their smartphones, and even attend events virtually. Event organizers have benefitted, too; technology has made it easier to organize, manage, and keep track of everything and everyone before, during, and after events. During the pandemic, it was technology that made it possible to continue events in new forms -- often smaller and more personal than their large, in-person counterparts but not necessarily any less successful.

Nearly 10 years later, Dataiku is helping to operationalize AI across a range of business use cases, from fraud detection and customer churn prevention to predictive maintenance and supply chain optimization. If the final destination is weaving AI capabilities so thoroughly into the fabric of day-to-day work that people forget it's there, enterprises are typically somewhere in the middle of the journey, Douetteau says. To get there, they should look inward. In this "AI From the Front Lines" interview, Douetteau and Romain Fouache, Dataiku's chief revenue officer, speak with Beena Ammanath, executive director of the Deloitte AI Institute, about their vision of AI in the enterprise, the importance of building systemization and trust for AI, and how execution will be more important than innovation in democratizing the technologies. "It's not a technology issue--we can build platforms able to continually process and enhance data and build new AI on top to optimize business processes," Douetteau says.

According to new research from the Infosys Knowledge Institute, companies can generate over $460 billion in incremental profit if they do three things: improve data practices, trust in advanced AI, and integrate AI with business operations. However, despite high expectations for data and artificial intelligence (AI), most companies fail to act on these areas to convert data science to business value. Infosys Data AI Radar: Making AI Real found that although three of four companies want to operate AI across their firms, most businesses are new to AI and face daunting challenges to scale. The report also found that 63% of AI models function only at basic capability, are driven by humans, and often fall short on data verification, data practices, and data strategies. Only 26% of practitioners are highly satisfied with their data and AI tools.

This week, Microsoft President and vice chair Brad Smith is heading to Egypt for the United Nation's annual climate conference with a mission: show the world that the tech giant is "consistent and committed" in its climate goals, as well as communicate the "vital role" that the tech industry as a whole has to play in battling the climate crisis. The Microsoft leader has been busy in recent months since the departure of chief environmental officer Lucas Joppa, stepping in to lead the company's climate initiatives (something Smith has always been intimately involved with, as Joppa's boss prior to his departure). Last week at the Web Summit tech conference, he spoke about the urgency of the workforce transformation the world needs to reach net zero, as well as the current skills gap. "The key to the future is going to be a new generation of people with a new generation of technology coming from a new generation of companies," he said, highlighting the work of startups like the India-based SEEDS, which is using satellite data and AI to identify homes that would be most susceptible to extreme heat, then helping them adapt. Using AI and data to help the Global South adapt to climate change is one of Microsoft's main focuses going into the COP27 climate talks.

Technology powered by artificial intelligence (AI) is enabling organisations to improve their customer experience and boost loyalty and revenues. The role of customer data has never been more crucial. A recent expert roundtable discussed the importance of personalisation and how data drives smart decision making. It outlined why employees need the right skills and should feel empowered to take action on the insights being generated every day. Excellent data management, powered by AI-enabled platforms, can result in improved customer experience, engagement and loyalty.

Deutsche Bank has partnered with payments behemoth Visa to strengthen its online retail fraud prevention resources. The collaboration makes Visa-owned company Cybersource's automated fraud detection system, Decision Manager, available to merchants who process their e-commerce payments via Deutsche. With Decision Manager, merchants will benefit from artificial intelligence-based calculations of risk value for each transaction to discover patterns and strategies. The application leverages an advanced risk model and global data intelligence from billions of data points of the Visa network to block fraudulent transactions and accelerate verified ones. According to Cybersource, Decision Manager prevented the equivalent of more than $22bn in potential fraud worldwide in 2021.

Thank you for joining us on "The cloud hub: From cloud chaos to clarity." Sunil Senan, senior vice president, and data and analytics service offering head at Infosys, and Chris Degnan, CRO at Snowflake, sit down with Lisa Martin and Dave Vellante at the Snowflake Summit 2022 to discuss how Infosys and Snowflake are helping clients accelerate their cloud journey with data and AI.

In the post-pandemic world, the onus seems to be on artificial intelligence (AI) to carry the healthcare sector forward. Maja Dragovic finds out how the attitudes towards AI in the sector have changed over the last 12 months. The focus on AI has definitely shifted since the pandemic, with data being seen as a tool to improve the health and care of a population in a safe, trusted and transparent way. The government's recent data strategy for health and care has set the direction for the use of data in a post-pandemic healthcare system with AI playing a significant role, especially in screening services where the technology can help scan numerous hospital images for irregularities. For Chris Scarisbrick, sales director at Sectra, an accelerator of AI use in screening was the development of the National Lung Screening pilot.