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7 Ways to Build a Strong LinkedIn Profile

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Due to the fact that a large number of recruiters are now on LinkedIn, it is important to understand how to properly utilize the site’s resources to help put your best foot forward to these recruiters. Jumia Travel, the leading online travel agency, shares 7 ways to build a strong LinkedIn profile.

Your Picture
This goes without saying. To build a strong LinkedIn profile, you need a smart and professional looking picture of yourself. You need a profile picture that presents you in the best professional light and that will allow people easily recognize you.

A good picture helps to instill a sense of trust or engagement, especially in the minds of headhunters who browse LinkedIn profiles looking for suitable candidates.

Your Headline
You need a good headline to build a strong LinkedIn. Maximize the characters of headline and use them to describe briefly and clearly what you do and who you serve.

Try not to just name your job title. For example, rather than just writing ‘Business Development Manager at DIY Corp’, you can write, ‘Business Development Manager at DIY Corp: Essentially identifying and exploiting new business opportunities to bring in revenue’.

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Your Summary
The LinkedIn algorithm searches for keywords here, so filling this section with information you know your target audience will be looking for can help strengthen your profile. In your summary, be sure to put in keywords or terms that match those that job seekers and business owners in the industry you aim to work in are looking for.

This helps to increase your visibility. Also, try to quantify your achievements with percentages and numbers that are safe for external use.

For example, ‘I was able to increase business by 80% or by over 5 times what it was before my arrival’ etc. You can also add some media, like video, pictures, scans or screenshots that gives credence to your claims about who you say you are and what you say you can do.

Your Experience
Aside the experience from your resume, try to share some relevant media to add credence to your claims (like videos, images, presentations or even articles and article links that you have written or that quote you).

Adding some media to your profile, even if it’s one or two, makes your profile more attractive and encourages potential viewers of your profile to stay a little while longer on your page, which can ultimately be good for you.

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Your Endorsements
Try to get endorsement from your connections for the skills you claim you have. However, be sure not to overdo it with this one.

Delete endorsements for skills you don’t have and avoid putting up skills you don’t have in the first place.

Reorder your endorsements so the most relevant comes before the least relevant. Try to build up your endorsement numbers for your most important skills by endorsing the skills of others (who will often endorse yours back) and by sending messages to friends, family and other connections to help endorse your skills.

Your Contact Information
Be sure your contact information is up-to-date to make it easier for you to be reached. If you don’t want to use your private numbers, be sure to at least use an active email address that you can be reached through.

Your Updates
Be sure to regularly update your LinkedIn profile with industry news, accomplishments, job changes etc. This can help to increase your visibility and give your network an opportunity to engage with you.

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E-Business

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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