Remove products
article thumbnail

IBM doubles down on hybrid cloud with $6.4B HashiCorp acquisition

CIO

In a move that significantly bolsters its position in the cloud services market, IBM has announced it is acquiring HashiCorp , a multicloud infrastructure automation company, for $6.4 Combining IBM’s portfolio and expertise with HashiCorp’s capabilities and talent will create a comprehensive hybrid cloud platform designed for the AI era.”

Cloud 277
article thumbnail

CIOs rethink all-in cloud strategies

CIO

After years of marching to the cloud migration drumbeat, CIOs are increasingly becoming circumspect about the cloud-first mantra, catching on to the need to turn some workloads away from the public cloud to platforms where they will run more productively, more efficiently, and cheaper.

Strategy 361
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Addressing cloud waste: 4 steps to cloud computing cost optimization

CIO

By: Scott Sellers , Co-Founder and CEO, Azul From the get-go, the cloud promised to help companies scale up their architectures in seconds, run their applications faster, never turn away a transaction, and save money through economies of scale. Here are four steps to getting the most out of cloud computing resources in an economical manner.

Cloud 293
article thumbnail

ADP’s cloud transformation pays dividends

CIO

For most organizations, a shift to the cloud brings scalability, access to innovative tools, and the possibility of cost savings. That big cloud investment allowed them to begin competing against companies like Workday, SAP, and Oracle.” An early partner of Amazon, the Roseburg, N.J.-based

Cloud 278
article thumbnail

Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

In order to maintain a competitive advantage, CTOs and product managers are shifting their products to the cloud. Many do this by simply replicating their current architectures in the cloud. Join Ahmad Jubran, Cloud Product Innovation Consultant, and learn how to adapt your solutions for cloud models the right way.

article thumbnail

Industry clouds give CIOs on-ramp to gen AI

CIO

And that’s all thanks to Beltzer’s decision to give RBC private equity advisors a vertical industry cloud that offered financial services out-of-the-box that are both customizable and extensible. And, with access to features such as Einstein, CIOs choosing industry clouds may be able to accelerate innovation further.

Industry 334
article thumbnail

Salesforce adds Contact Center updates to Service Cloud

CIO

Salesforce has announced new Contact Center updates to its Service Cloud — an offering targeted at bettering customer experience and boosting the productivity of service teams. The generative AI-driven Survey Summarization feature, on the other hand, uses the Data Cloud and Einstein to identify trends. Salesforce.com

Cloud 283
article thumbnail

How to Design Strong Experiments

Speaker: Franziska Beeler, Head of Cloud Academy, and Tendayi Viki, Associate Partner, Strategyzer

When testing new business and product ideas, choosing the right experiment is just the beginning. You'll come away from the webinar understanding how to: Formulate strong hypotheses for your business and product ideas. After we have chosen our experiment, it’s important that we spend some time designing it well.

article thumbnail

Using Connected Device Data to Improve Sales

Speaker: Charlie Isaacs, CTO for Customer Connection at Salesforce

But even if you are one of the companies that has figured out how to connect your products and devices to the cloud, how do you prove that your investment will pay off? Charlie Isaacs, CTO for Customer Connection at Salesforce, has the answer to that question, and many more on top of it.

article thumbnail

5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.