Innowatts, a leading software-as-a-service (SaaS) platform powered by artificial intelligence (AI) for global energy providers, announced a solution to enable them to fully leverage the power of scalable, cloud-based data analytics. By leveraging Amazon Web Services (AWS)‘s speed and agility, Innowatts’ SaaS energy analytics platform has been effectively deployed in nine countries and 17 energy markets with more than 45 million meters.

Jeff Wright, Chief Revenue Officer of Innowatts, said, “We’re proud to bring our groundbreaking AI analytics solutions to a wider audience. The future of energy depends on using vast amounts of data gleaned from dispersed sources to generate actionable intelligence at scale — and that’s exactly what Innowatts is now working to deliver.”

Innowatts helps utilities address some of the industry’s greatest challenges, such as decarbonization and decentralization, extreme weather, and electrification of transportation, through its use of AWS. The solution combines Innowatts’ data-analysis technology with AWS’s scalability, flexibility, and the pay-as-you-go model for total transparency over utilities’ own operations, customer needs, and market conditions.

Rolf Gibbels, Head of Worldwide Business Development, Power & Utilities Industry at AWS, said, “AWS is fully committed to using cutting-edge technology to drive digital transformation for leaders in the energy space. This relationship underpins the importance of cloud-enabled digital transformation for utility companies and will help bring more sustainable, reliable, and affordable energy to millions of American businesses and residential customers.”

Those are major steps forward for utilities battling new supply- and demand-side complexity, tackling external pressures, such as extreme weather events, and maintaining profitability while delivering affordable, dependable, and efficient energy to their clients. AWS-enabled machine learning (ML) platform by Innowatts can help utilities succeed by delivering accurate forecasts and real-time intelligence from smart grid infrastructure and consumer devices.