As an estimated 92% of enterprises have adopted hybrid and multicloud strategies, according to the 2021 State of the Cloud Report from Flexera, cloud operations (CloudOps) teams face increasing pressure to simultaneously manage costs while improving business outcomes. What levers can CloudOps teams pull to achieve operational objectives such as reducing hybrid and distributed cloud complexity, enhancing security, and automating processes?

The following is Part III of a three-part series. Welcome to the final installment of a three-part series discussing the areas to take seriously when you want to drive business with analytics. In Part I of this series, I discussed how to prioritize data accessibility and how to address the challenges that come with it. Those challenges include: Part II discussed where the disconnect is and addressed how organizations can bridge the gap.

One of the most challenging and complex elements of operating a financial services institution is compliance. Managing risk, security and privacy to earn customers’ trust has long been at the core of financial services, but this foundation has been shaken over recent years.

Organizations in the financial services sector face a unique set of challenges as they consider how to wrangle and process the vast amount of data they collect. During our Financial Services Summit, I was lucky enough to speak to Brian Anthony, chief data officer for the Municipal Securities Rulemaking Board (MSRB), to learn how the MSRB is integrating technologies such as artificial intelligence (AI) and machine learning to modernize its data.

Financial products are no longer characterized by the steps of filling out a form, waiting for a credit decision and, if successful, watching the monthly payments leaving your account.

Where and when should a utility trim vegetation near power lines to best reduce the risk of wildfires? When is the most cost-effective time to take a wind turbine out of service for general maintenance? How can customers be convinced to charge their electric vehicle or consume energy at off-peak times that relieve pressure from the power grid?

The pandemic has been unkind to many retailers, with customer expectations shifting seemingly overnight. During the great recession of 2008–2009, e-commerce grew, and brick-and-mortar retail declined. As the economic recovery took hold, that trend continued while off-price, discount, and emerging players succeeded by appealing to new consumer demands. For example, in January 2020, fast-paced home delivery was perceived as a unique selling point offered only by select stores.

It’s one of the great paradoxes of doing business in the 21st century: Customers expect more personalized products and services even as in-person customer contact decreases. This is just one of several disruptive trends facing every industry. At the first day of Hitachi Financial Services Summit 2021, I addressed these challenges in a keynote session with Marek Chlebicki of Raiffeisen Bank International.

Businesses and consumers are getting better at recognizing the direct carbon cost of the products they use. As such, we’re seeing an increased use of sustainable materials in consumer goods and global products. That is a big positive trend, but there’s a bigger picture to explore. Value chains make up 90% of an organization’s environmental impact, according to the Carbon Trust.

Modern Data Foundation for AI-Driven Results The following is Part II of a three-part series. In Part I of this series, I noted the following: “With just a few clicks on my smart device, I can review data on every place I’ve been, how much I spent, each step I took, what the weather was like and who I was with. Businesses collect the same abundance of data. However, are we getting the benefit and insights from what’s collected?