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New IBM Software Portfolio Leverages Predictive Analytics

IBM announced a broad portfolio of software that uses predictive analytics to provide greater visibility and integration between the applications that run on an IT infrastructure and key business processes.

By applying analytics expertise to the data center in this way, the new software will enable clients to make more intelligent, automated business decisions and help them embrace cloud computing.

The software enhances business decision management, predictive business service management and integration.

The shift to IT analytics is transforming decision-making for IT and business operations. By using predictive analytics, which harness the vast quantities of data a business creates, organizations can respond more quickly and accurately to customer needs, better anticipate and prevent outages and deliver fact-driven metrics to drive better business outcomes. Analytics can also make improvements across the software development and delivery lifecycle, further reducing cost, risk and time to market.

"Predictive analytics can tame IT infrastructure in much the same way it's taming big data," said Robert LeBlanc, IBM Sr. VP, Middleware Software. "This new software adds intelligence to IT and business processes by basically creating a road map showing the fastest connection between a business and its IT infrastructure. It automatically avoids potholes to ensure the best outcome, which is critical as the market continues to embrace cloud computing."

The new IBM software creates a single view for an organization to gain visibility into all of its physical and digital assets and services, including business processes:

* Decision Management automates business decisions, ensuring an organization is able to make the right decision at the right time. IBM WebSphere Operational Decision Management enables business users to capture the decision logic of experts and apply it to accurately detect and react in real time to critical situations. This also helps eliminate delays in hand-offs between business experts and IT staff.

* Predictive Business Service Management reduces service disruptions and prevents impending issues before they become a problem in the IT and network infrastructure. By applying analytics to gain greater visibility, control and automation in their data centers, organizations will be able to better manage the health of their businesses. IBM Tivoli Analytics for Service Performance, along with a new version of Tivoli Business Service Management is being previewed as part of today's announcements.

* Connectivity and Integration provides greater insight into existing assets, freeing up capital to invest in new growth opportunities. By easily and securely bringing together an organization's disparate data sources and applications, this technology ensures users can access and incorporate vital information regardless of platform, device or data format. As a result, it becomes easier to apply analytics toward business initiatives. Enhanced versions of IBM WebSphere Message Broker and IBM WebSphere MQ allow users to more effectively integrate and disseminate secure information across business processes.

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New IBM Software Portfolio Leverages Predictive Analytics

IBM announced a broad portfolio of software that uses predictive analytics to provide greater visibility and integration between the applications that run on an IT infrastructure and key business processes.

By applying analytics expertise to the data center in this way, the new software will enable clients to make more intelligent, automated business decisions and help them embrace cloud computing.

The software enhances business decision management, predictive business service management and integration.

The shift to IT analytics is transforming decision-making for IT and business operations. By using predictive analytics, which harness the vast quantities of data a business creates, organizations can respond more quickly and accurately to customer needs, better anticipate and prevent outages and deliver fact-driven metrics to drive better business outcomes. Analytics can also make improvements across the software development and delivery lifecycle, further reducing cost, risk and time to market.

"Predictive analytics can tame IT infrastructure in much the same way it's taming big data," said Robert LeBlanc, IBM Sr. VP, Middleware Software. "This new software adds intelligence to IT and business processes by basically creating a road map showing the fastest connection between a business and its IT infrastructure. It automatically avoids potholes to ensure the best outcome, which is critical as the market continues to embrace cloud computing."

The new IBM software creates a single view for an organization to gain visibility into all of its physical and digital assets and services, including business processes:

* Decision Management automates business decisions, ensuring an organization is able to make the right decision at the right time. IBM WebSphere Operational Decision Management enables business users to capture the decision logic of experts and apply it to accurately detect and react in real time to critical situations. This also helps eliminate delays in hand-offs between business experts and IT staff.

* Predictive Business Service Management reduces service disruptions and prevents impending issues before they become a problem in the IT and network infrastructure. By applying analytics to gain greater visibility, control and automation in their data centers, organizations will be able to better manage the health of their businesses. IBM Tivoli Analytics for Service Performance, along with a new version of Tivoli Business Service Management is being previewed as part of today's announcements.

* Connectivity and Integration provides greater insight into existing assets, freeing up capital to invest in new growth opportunities. By easily and securely bringing together an organization's disparate data sources and applications, this technology ensures users can access and incorporate vital information regardless of platform, device or data format. As a result, it becomes easier to apply analytics toward business initiatives. Enhanced versions of IBM WebSphere Message Broker and IBM WebSphere MQ allow users to more effectively integrate and disseminate secure information across business processes.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...