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Data Scientists Reveal Roadblocks to Digital Transformation

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Digital transformation has accelerated significantly due to the COVID-19 pandemic, but the extra demands on data scientists have revealed significant barriers to effective working and high levels of job dissatisfaction in some areas.

Data Scientists Reveal Roadblocks to Digital Transformation

For example, around four in 10 are dissatisfied with their company’s use of analytics and model deployment, while more than 20 barriers to effective working emerged, according to a survey of data scientists commissioned by analytics leader SAS.

However, the work of data scientists has grown in importance with many organisations accelerating digital transformation projects by using technology to improve business operations.

More than 90% of respondents indicated the importance of their work was the same or greater compared to before the pandemic.

To delve deeper into the state of data science, the report assesses the impact of the pandemic, challenges faced, overall satisfaction with the analytics environment and more.

The research showed the pandemic upended standard business practices, shifting the assumptions and variables in models and predictive algorithms and causing a ripple effect of adaptations in processes, practices and operating parameters.

More than two-thirds of respondents were satisfied with the outcomes from analytical projects.

However, 42% of data scientists were dissatisfied with their company’s use of analytics and model deployment, suggesting a problem with how analytical insights are used by organisations to inform decision making.

This was backed up by 42% saying data science results were not used by business decision makers, making it one of the main barriers faced.

The survey also highlighted some specific skills gaps. Less than a third of the respondents reported having advanced or expert proficiency in program-heavy skills, such as cloud management and database administration.

This is an issue given that use of cloud services is up significantly, with 94% saying they experienced the same or greater use of cloud since COVID-19 struck.

“There have clearly been more demands placed on data scientists as the pandemic has accelerated digital transformation projects that many organisations were planning anyway,” said Dr. Iain Brown, head of Data Science at SAS UK and Ireland.

“A major source of frustration is finding a way for organisations to implement the insights from analytics projects and use them in their decision making, which means giving data scientists a seat at the boardroom table might be a way forward.”

“Linked to this, we found concerns around support for data science teams and a lack of talent, which has been an issue for some time with demand outstripping supply. Organisations must realise that investing in a team of data scientists with complementary skills could reap huge value for the business, so the cost of hiring needs to consider the return on that investment as we move to significantly more digital and AI-driven business processes,” continued Brown.

The research also identified gaps in consistent organisational emphasis on AI ethics, with 43% of respondents indicating that their organisation does not conduct specific reviews of its analytical processes with respect to bias and discrimination and only 26% of respondents reporting that unfair bias is used as a measure of model success in their organisation.

When it comes to the challenges identified to ensure fair and unbiased decision making, Dr. Sally Eaves, an industry expert, said, “Data scientists can lend their expertise to craft working guidelines for data access, usage security, and broader issues, such as sustainability and data ethics and bias.”

“Rather than sometimes hoping they are given appropriate, clean data and relying too much on the technology to drive fair outcomes, they can play an active role to put in place the right guidelines and checks at each stage of the analytical process to try and eliminate bias. Having a transparent and explainable flow from data to decision is obviously key to this,” said Eaves.

The research revealed positive outcomes from the global disruption of the pandemic. Nearly three-quarters (73%) said they are just as productive or more productive since the pandemic, while a similar proportion (77%) revealed they had the same or greater collaboration with colleagues. This suggests many of the challenges highlighted were in existence, possibly to a greater degree, before the pandemic.

Other challenges experienced were the amount of time spent on data preparation versus model creation. Respondents are spending more of their time (58%) than they would prefer gathering, exploring, managing and cleaning data.

“Overall, the data scientist has ample reason to feel empowered and optimistic about how the pandemic has shone a spotlight on the importance of their role within their organisation and how it might evolve over time,” said Brown. “This holds especially true if data scientists can leverage the whole spectrum of available tools to manage the analytics lifecycle, pursue data science training and skill development opportunities, and embrace data prep as the first step in modelling.”

Additional findings and discussion points, including strategies for data scientists to improve processes and outcomes, are available in the full report: Accelerating Digital Transformation.

 

 

 

 

 

 

 

 

 


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AU Sees AI Adoption Evolving to Boost Economic Growth in Africa

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Africa’s financial services sector is entering a new era of artificial general intelligence (AGI), as the adoption of artificial intelligence (AI) on the continent evolves to boost economic growth.

This was the word from Lavina Ramkissoon, ambassador representing the African Union for the East, North and South of the continent, speaking last week during the Financial Sector Conduct Authority Conference 2026.

As AI rapidly evolves beyond current frameworks, Africa faces a narrowing window to define its role in what could become a radically different global economic order, she said.

Ramkissoon co-chairs the African Union’s Science, Research, Technology and Innovation Council and leads its “sixth region” diaspora portfolio.

AGI refers to AI that matches human intelligence, capable of learning, reasoning and applying knowledge across diverse domains, while ASI is a theoretical, future AI that surpasses human intelligence across all fields.

Ramkissoon cautioned the global AI trajectory is already shifting beyond human and machine collaboration toward far more advanced forms of intelligence.

“In my opinion, we’ve quickly moved away from human agency, we’ve moved away from AI agency, and we’re getting into a space where we’re going to see AGI unfold − but not really know that it’s unfolding.”

She noted that this transition could be subtle at first, with only limited signals before a more dramatic leap.

“There’s going to be one or two key signs… and then all of a sudden, we’re going to wake up and see ASI around in terms of superintelligence.”

This progression, she suggested, raises fundamental questions about control and governance.

Rather than focusing purely on technological capability, Ramkissoon argued that societies must confront how much decision-making power they are willing to relinquish.

“From a human perspective, we’re going to have to dig deep in terms of understanding where to next and what sort of control we are willing to give away or negotiate going forward.”

Beyond the technological shift, she emphasised that Africa’s response must be grounded in structural readiness. Responsible AI at scale, she said, depends on three core pillars: infrastructure, computational capacity and a broader understanding of intelligence itself.

On infrastructure, Ramkissoon highlighted the need for interoperability rather than isolated systems, noting that Africa’s financial and digital ecosystems remain fragmented.

“For some reason, we haven’t been able to orchestrate it in a unified manner. This is probably our last opportunity to utilise AI to gauge that.”

She also challenged assumptions around compute capacity, arguing that the continent does not yet require widespread investment in large-scale data centres.

“Our utilisation of AI isn’t at that capacity yet. Running things like language models or robo-advisors are still relatively menial when we talk about the larger capacity required.”

More fundamentally, Ramkissoon pointed to a shift in how intelligence itself is defined and used in the digital economy.

“Intelligence is intelligence. Distinctions between human and artificial intelligence are becoming less relevant as the two increasingly converge.”

This shift is already reshaping economic thinking. Ramkissoon described the emergence of what she called a “new age economy”, where traditional drivers are being replaced.

“It no longer functions on the cost of capital, but is moving towards the cost of energy, the cost of data and the cost of intelligence.”

She also pointed to growing divergence in how global technology players are approaching AI, with some pushing for rapid expansion of capabilities, while others advocate for constraint.

Within the African continent, more than 60% of countries had adopted some form of AI policy or regulatory framework as of 18 months ago, with different regions beginning to take distinct approaches.

However, the continent risks falling behind if it fails to articulate a unified vision and take advantage of the full potential of AI, she stated.

“As much as we understand the opportunity, what are we actually tangibly doing on the ground to unlock that?” she asked, pointing to persistent challenges such as unemployment and low economic growth.

While AI is already reshaping labour markets globally, Ramkissoon cautioned against framing the issue purely in terms of job losses.

“We focus on fear more than optimism. AI is creating jobs and removing jobs at the same time.”

Instead, she called for a broader, long-term perspective that moves beyond short-term disruption toward strategic positioning.

“We really need to zone out and have a macro view. Without that, Africa risks missing a critical moment in shaping its digital and economic future as AI capabilities accelerate toward increasingly autonomous and potentially uncontrollable systems.”


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Qualified Cybersecurity Staff Shortage Among Key Obstacles in Curbing Supply Chain Risks

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A new global Kaspersky study has identified the lack of qualified IT security workers and the need for global organisations to prioritise various security tasks to mitigate the risk of supply chain and trusted relationship attacks. Both factors are cited by nearly half (42%) of the respondents.

Kaspersky’s recent study* on supply chain and trusted relationship risks showed that supply chain attacks have emerged as a top threat for businesses, with every third organisation hit by such an attack over the past year.

The severity and frequency of supply chain attacks necessitate uncovering the key reasons preventing them from addressing the risks successfully.

According to the survey, one of the key barriers to reducing supply chain and trusted relationship risks is the lack of a qualified workforce. This shortage leaves organisations without the capacity to consistently access and monitor possible third-party vulnerabilities across their ecosystems.

Among other primary obstacles, respondents noted the need to juggle multiple cybersecurity priorities. This reflects the fact that security teams are stretched across too many tasks at once, which might leave supply chain threats unaddressed.

Beyond resource constraints, respondents also point to structural issues: 39% say their contracts lack clear IT security obligations for contractors. Further 32% note that non‑IT security staff often do not fully understand these risks.

Globally, according to the survey, an overwhelming 85% of businesses admit their organisations need to upgrade protection against supply chain and trusted relationship risks, with only 15% of enterprises considering their current security measures effective.

At the same time, the results of the survey showed that current mitigation practices for third-party risks remain fragmented, with no way of protection getting more than 40% of current adopters. Even the most common protective measure, two-factor authentication, is used by only 38% of respondents.

In addition, only 35% of organisations conduct regular reviews of contractors’ cybersecurity postures. As a result, nearly two thirds of businesses lack ongoing visibility into the security of their partners, leaving them exposed to evolving vulnerabilities across their ecosystems.

It’s noteworthy that companies that have already experienced supply chain and trusted relationship attacks tend to adopt stronger security habits. Those hit by supply chain incidents are more likely to request penetration test results (56%), while victims of trusted relationship breaches prioritise checks on compliance with industry standards (56%) and their contractors’ own supply chain policies (53%).

“When security teams are overstretched, understaffed and have to prioritise urgent tasks over long term resilience priorities, organisations are left exposed to threats that can move silently through their provider ecosystem.

“To break this cycle, the industry needs to adopt more unified and consistent mitigation strategies, from standardised contractor assessments to stronger cross‑team awareness. Supply chain security should become a shared, enforceable responsibility across the entire business network,” comments Sergey Soldatov, Head of Security Operations Center at Kaspersky.

Only by implementing preventive measures across the organisation and approaching partnerships with suppliers and contractors strategically can companies reduce supply chain risks and ensure the resilience of their business.

 


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Study Reveals 83% of Employees Stay Connected to Work During Time Off, Fuelling Digital Anxiety

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A new Kaspersky survey undertaken in the Middle East, Turkiye and Africa (META) region reveals that digital anxiety is becoming a defining feature of modern work culture, as employees don’t disconnect even during their free time and vacations.

According to the findings, 83% of respondents keep an eye on work tasks outside working hours. An overwhelming 85% reply to all work-related messages in instant messaging apps, while the same share (85%) check work emails during their time off – and 81% admit they are responding to work emails while on vacation or in their personal time.

The pressure to remain constantly available is contributing to heightened stress levels in the workplace. Other sources of stress include work issues, for example, 43% experience anxiety after accidentally sending a random message to a work chat.

Interestingly, not all digital mishaps are perceived equally: 40% report that they take it calmly when they send an unfinished email, proving that some mistakes are considered less damaging than others.

Blurred boundaries between professional and personal life, combined with instant communication tools, are intensifying feelings of constant monitoring and fear of making digital errors.

More than a third (36%) of respondents say they feel extremely uncomfortable or even scared if their boss notices them scrolling through social media at work instead of working. The “always-on” culture may undermine employee well-being, increase burnout risks, and reduce overall productivity in the long term.

“Digital anxiety doesn’t just affect employee well-being – it can also increase cybersecurity risks for organisations. When people feel constant pressure to respond immediately to messages and emails, they are more likely to act impulsively, without carefully verifying links, attachments, or sender identities.

This urgency can make employees more vulnerable to phishing, and other scams using social engineering techniques,” comments Brandon Muller, Technical Expert at Kaspersky.

Kaspersky recommends employees to follow the below tips to avoid digital anxiety and associated cyber risks:

  • Slow down before clicking or replying. Digital anxiety can trigger automatic reactions. A short pause to check sender details, URLs, or attachments can prevent security breaches.
  • Treat urgency as a red flag. Cybercriminals often exploit pressure and fear. Always verify unexpected or urgent requests before responding.
  • Avoid handling sensitive information on unsecured networks. Public Wi-Fi, often used when working outside regular hours, increases exposure to cyber threats. Mobile network and VPN should be applied in such cases.
  • Use technologies that will help reduce risks. For example, Kaspersky Premium offers AI-powered anti-phishing features designed to help warn of potential threats.

Businesses can reduce cybersecurity risks related to employees’ digital anxiety by providing regular cybersecurity training that helps staff recognise threats and respond correctly even under stress.

At the same time, organisations should use robust cybersecurity solutions to minimise the impact of human error. Kaspersky Next’s adaptable and robust cloud-native protection, underpinned by an unequalled cybersecurity track record, is one of such products.

Protection solutions for mail servers, such as Kaspersky Security for Mail Server, with anti-phishing capabilities, help to additionally decrease the chance of infection through a phishing email.


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