Connect with us

E-Business

IBM Chief Urges Nigeria to Invest in Data Science against Infrastructure

Published

on

IBM-logo.jpg
Kindly share this post

 
Dr. Uyi Stewart, a US-based Nigerian leading data scientist and Chief Data Scientist, IBM, has urged Nigeria to invest more in data science rather than infrastructure in order to achieve development.

He stated this at a workshop for Data Science entrepreneurs in Lagos, according to him, ‘We have a lot of challenges as a nation whether is in public sector, healthcare, agriculture, financial inclusion or education across every walk of life.

Even in Lagos, look at mobility, our ability to travel from one place to the other, we need to star to make smart decisions.

Farmer need to make smart decisions in other to farm better, worker need to make smart decisions in other to be able to reach at work on time. Even parents need to make smart decisions about their finances so that they do not just stay at the same level.

“Across all these dimensions that I have talked about, the key is really the ability to have the right data, run the right kind of insight of the data, generate the right kind of decision support and then let the humans make the decision. Even in government, government also needs to be supported in order to make the right kind of decision for the population and that can only come from data. We can’t formulate policy on emotions; we have to formulate policies based on data. So across every work or life data is valuable but the key is our ability to mine and analyse the data,” he said.
 
On the challenge of access data, he said that he key is the time to value. “Let’s take a scenario, I have data, I am company X and you come to me and you say ‘Give me your data’. I am going to ask you, what’s in it for me? I believe people are willing to share their data. But, innovation has to be two sides; it has to be business model and technology. We always go to them and say “Give me you data, I want to build this App” without laying on the table what’s in it for them. If you can show what business model underlying what you are doing and you can show value for the person you are asking data from, you will get the data.”
 
Stewart further explained that the issue of data credibility borders on data quality. “Actually they are two sides – data quality and data provenance. Provenance means when I get the data, it can percolate all the way and be consistent without somebody changing it. These are issues that machine learning thankfully allows us to address. Even if you say, “I don’t want to go into machine learning”, there is something that is called crowdsourcing which is also an approach to do data quality. It’s inexpensive. What that does is that it brings people together to validate an imprint in a democratic way. All of us cannot agree to lie. So, we need to focus on instruments either through technology or simple innovative ideas like crowdsourcing to ensure we have the right kind of data quality. It is central otherwise garbage in, garbage out.”

Advertisement

Kindly share this post

Nigeria CommunicationsWeek believes that technology makes life more exciting and helps improve the lives of people around Nigeria and indeed the world. So since 2007, we have devoted our energy to independent reportage of technology and how they affect lives.

Continue Reading
Advertisement
Comments

E-Business

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

Published

on

Kindly share this post

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?

Advertisement

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.

Advertisement

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.

Advertisement

Kindly share this post
Continue Reading

E-Business

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

Published

on

Kindly share this post

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.

Advertisement

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.

Advertisement

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.

Kindly share this post
Continue Reading

E-Business

Microsoft to Unveil Next-generation AI Chip in September

Published

on

Kindly share this post

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.

Advertisement

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.

 

Kindly share this post
Continue Reading

Trending