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IBM Supports Mobile Economy with Z13 Mainframe Computer Launch

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IBM, notable for its innovative capabilities, is combining a couple of odd computing with the new trends, following a new machine that combines the mainframe, the old workhorse, and the smartphone, launched on Wednesday.

Apparently, IBM designed the latest version of the mainframe with the smartphone in mind.

The new mainframe, the z13, has been engineered to cope with the huge volume of data and transactions generated by people using smartphones and tablets.

“This is a mainframe for the mobile digital economy,” said Tom Rosamilia, senior vice president in charge of IBM’s systems business, which includes mainframes. “It’s a computer for the bow wave of mobile transactions coming our way.”

IBM brings out a new mainframe about every three years, and the success of this one is critical to the company’s business.

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Mainframes alone account for only about 3 percent of IBM’s sales.

But when mainframe-related software, services and storage are included, the business as a whole contributes 25 percent of IBM’s revenue and 35 percent of its operating profit, estimates A.M. Sacconaghi of Bernstein Research, as reported by Cyberoption.Net blog.

Over the years, IBM has done a good job of revamping the mainframe to handle new workloads.

Modern mainframes, for example, run a lot of open-source software, like the Linux operating system.

Today, though, IBM is in the midst of a transition challenge, it is investing to build large, growing businesses in new areas like cloud computing, big data analytics and mobile applications for corporations.

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But those fields have not yet grown fast enough to make up for the erosion in some of its hardware, software and services offerings.

The mainframe is not a growth market for IBM.

But maintaining the mainframe franchise is a strategic imperative for IBM, giving it financial ballast and time as it pursues new opportunities.

“Ensuring the relevance of the mainframe, and with it deep ties into so many major corporate accounts, is crucial to IBM,” Sacconaghi said.

The new mainframe, Rosamilia said, has a host of technical improvements over its predecessor, including three times the memory, faster processing and greater data-handling capability.

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IBM spent $1 billion to develop the z13, and that research generated 500 new patents, including some for encryption intended to improve the security of mobile computing.

Much of the new technology,  Rosamilia added, is designed for real-time analysis in business. For example, he said, the mainframe system can allow automated fraud prevention while a purchase is being made on a smartphone.

Another example, he said, would be providing shoppers with personalized offers while they are in a store, by tracking their locations and tapping data on their preferences, mainly from their previous buying patterns at that retailer.

These real-time applications, according to Donna Dillenberger, a distinguished engineer at IBM’s Watson lab, can be done in a mainframe environment.

They are not yet possible on clusters of smaller, industry-standard computers, she said. But there are several open-source software projects, like Apache Spark, that focus on real-time data processing across large numbers of computers.

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Mobile computing is certainly accelerating the data-handling and transaction-processing challenges for businesses of all kinds.

The volume of purchases made on smartphones and tablets in the United States, estimated at $114 billion last year, is projected to more than double to $293 billion by 2018, according to Forrester Research.

That kind of growth trajectory in America and elsewhere is largely attributable to the popularity and steadily improving capabilities of mobile devices.

But the simplicity of a tap-and-swipe mobile computer also contributes to the complexity of the computing tasks a user never sees when, for example, making an online purchase.

A single consumer action can set off four to 100 computing transactions — with information sent securely — like confirming an identity or authenticating a credit card.

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Howard Rubin, an independent analyst, calls this the “starburst effect.” The advance of mobile computing, he noted, leads to “a surge of back-end transactions.”

In developing the z13, IBM worked with 60 companies and government agencies, mainly longtime mainframe customers.

But IBM won a convert in Ronald J. Peri, chief executive of Radixx International. Radixx, based in Orlando, Fla., runs the computerized reservation systems for 40 airlines, mostly smaller and midsize carriers outside the United States.

In the late 1980s, while working for an insurance company, Mr. Peri was an early advocate of moving off mainframes and onto networks of personal computers. An article from that time in The Wall Street Journal cited Mr. Peri as being in “the vanguard of a revolution” against the high-priced tyranny of mainframe computing.

Today Mr. Peri is shifting the back-end computing engine in the Radixx data center from a cluster of industry-standard servers to a new c.

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After testing out the mainframe, he has been impressed by its performance, security and even cost. He estimates the total cost of ownership including hardware, software and labor will be 50 percent less with a mainframe than on his “sprawling server farm,” given the growing complexity of managing hardware and software from several suppliers.

“We kind of rediscovered the mainframe,” Mr. Peri said.‎

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Cyber Resilience a Critical Priority for Manufacturing Amid Rapid Digitalization – Report Shows

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As 60% of manufacturers race toward full digitalisation, cyber risk is increasingly manifesting as a business risk, according to a new global report by Kaspersky and VDC Strategy.

This means cybersecurity is not merely a compliance function, it is a cornerstone of production assurance, safeguarding uptime, quality, and operational continuity.

Manufacturers are modernising to deliver safer, more consistent and more cost-effective production and digitalization is moving fast: just 9% of organisations describe themselves as fully digital today, but 60% expect to get there within two years, according to the joint report by Kaspersky and VDC, titled ‘Cyber Resilience, Built for Manufacturing’.

That shift links shop-floor equipment, production lines and site operations to platforms such as Manufacturing execution systems (MES), Supervisory control and data acquisition (SCADA) and historians, turning many plants into cyber-physical systems (CPS), where a digital disruption doesn’t stay digital. It can slow production lines, quarantine work in progress, invalidate traceability records, or halt production outright.

What’s driving manufacturing digitalization?

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Manufacturers are digitising for measurable operational gains, not novelty. Survey respondents identified the primary drivers of their digital transformation strategy as:

  • Improving production output or efficiency (24%)
  • Reducing operational or production expenses (15%)
  • Enabling new strategic opportunities (14%)
  • Improving cyber resilience (13%)

The same connected systems that unlock these gains, including MES, IIoT sensors, automated material handling, remote engineering access, also become the systems that determine whether production can be trusted to keep running.

Cyber risk is now a business risk

Cyber risk has evolved from a mere IT concern to a direct threat to revenue generation, as environments transform into cyber-physical systems. In these integrated settings, digital disruptions like malware no longer just affect data, they can cause unsafe operations, scrapped batches, and halted production on the plant floor. This shift highlights the urgent need to treat cybersecurity as a key part of operational resilience.

According to the report, nearly 60% of manufacturing organisations estimate that cyber incidents cause damages exceeding $1 million per event, with an average disruption of 15.3 hours. The most significant losses often result from production halts, missed delivery commitments, and penalties, rather than just forensic costs.

In this context, downtime links cybersecurity risks to overall business performance. Cyber incidents can reduce Overall Equipment Effectiveness (OEE), strain staffing, and disrupt supply chains. Recovery involves more than system restore, it requires re-establishing confidence in process parameters, quality records, and traceability before resuming operations.

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Mature cybersecurity programs now incorporate OT security into governance, focusing on metrics valued by production leaders such as time to restore, backup confidence, legacy asset coverage, and safe degraded operation. This alignment ensures cybersecurity supports continuous production and resilience, not just IT compliance.

However, challenges remain due to split ownership. While 59% of organisations’ IT departments manage security policies, these often overlook plant realities. Managing many security tools (44%) and OT patching issues (38%) show that cybersecurity must be embedded into daily routines of production, engineering, and quality teams. Only through such integration can cybersecurity effectively enhance operational reliability and defend against evolving threats.

“As manufacturing environments become increasingly interconnected, cybersecurity shifts focus from merely adding protective layers to ensuring the availability, resilience, and integrity of production processes. The goal is to minimise operational impact and speed up recovery, rather than solely preventing intrusions.

“Kaspersky offers a unified ecosystem that integrates IT, OT, and IIoT security, empowering manufacturers to pursue digital transformation securely. This strategy helps maintain operational continuity and reduces long-term cybersecurity costs,” comments Andrey Strelkov, Head of Industrial Cybersecurity Product Line at Kaspersky.

To implement this strategy, manufacturing companies can leverage solutions from the Kaspersky OT Cybersecurity Ecosystem, centered around Kaspersky Industrial CyberSecurity (KICS), a native Extended Detection and Response platform designed for critical infrastructure protection. KICS enables centralised detection and response to complex attacks across the entire industrial network, ensuring comprehensive visibility and security.

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NDPC Probes UNILAG, Lotus Bank, Hackerbella over Alleged Students’ Data Misuse

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Nigeria Data Protection Commission (NDPC) has commenced a forensic investigation into the University of Lagos (UNILAG), Lotus Bank and Hackerbella Ltd over alleged violations of data protection laws involving students’ personal information.

NDPC Probes UNILAG, Lotus Bank, Hackerbella over Alleged Students’ Data Misuse

The investigation follows public complaints alleging that students’ personal data were used to open bank accounts without a lawful basis.

Dr Vincent Olatunji, national commissioner and chief executive officer of the NDPC, directed the investigation team to conduct a comprehensive assessment of the circumstances surrounding the collection, processing, use and disclosure of the affected students’ personal data.

The investigation will also determine the respective roles and responsibilities of UNILAG, Lotus Bank and Hackerbella in the alleged processing of the data.

According to the Commission, the investigation will assess the data protection compliance obligations of the parties under the Nigeria Data Protection Act, 2023 (NDP Act), as well as potential risks posed to the rights and freedoms of the affected data subjects.

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The NDPC said the probe would cover several areas, including Data Protection Impact Assessments (DPIAs), the lawfulness and transparency of credit scoring or profiling activities, and the use of automated decision-making systems.

It will also examine the adequacy of privacy notices, data-sharing arrangements, lawful bases for processing, data minimisation and purpose limitation.

Other areas include data retention policies and the adequacy of technical and organisational measures put in place to safeguard the rights and personal data of affected students.

The Commission reiterated that institutions entrusted with the personal data of students, staff and other members of their communities have a heightened responsibility to ensure that such information is processed lawfully, fairly, transparently and securely.

The NDPC therefore warned educational institutions that are yet to comply with its existing data protection compliance directives to take immediate steps to achieve compliance.

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The Commission said it would continue to exercise its regulatory mandate to protect the privacy rights of Nigerians and ensure that organisations processing personal data comply with the provisions of the Nigeria Data Protection Act, 2023.

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Microsoft to Unveil Next-generation AI Chip in September

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Microsoft is planning to unveil its new Maia 300 AI chip this fall, potentially as soon ​as next month, The Information reported on Monday, citing ‌people with direct knowledge of the plans.

The company introduced its Maia AI chip in November 2023 but has lagged rivals such as Alphabet and ​Amazon in scaling up its in-house chip efforts as ​it seeks to reduce its reliance on Nvidia’s costly ⁠processors.

Google began recognizing revenue from direct sales of its custom ​AI chips, called Tensor Processing Units, in the quarter ended June, ​while Amazon has also seen growing adoption of its processors, including its Trainium chips.

Microsoft has been in talks with chipmaker TSMC to secure manufacturing ​capacity for more than 300,000 units of the chip for ​delivery in 2027, according to the report. It is also looking to significantly ramp up ‌production ⁠and persuade major cloud customers such as Anthropic to adopt the chip.

Microsoft ultimately ​aims to ⁠secure capacity for more than 1 million Maia 300 chips, though component supplies and ongoing capacity ​negotiations with TSMC could constrain its plans, according ​to the ⁠report.

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It unveiled its second-generation Maia 200 in January, built by TSMC using 3-nanometer technology.

Microsoft packed the chip with a significant amount of ⁠SRAM, ​a type of memory that can provide ​speed advantages for AI systems handling large numbers of user requests.

 

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