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Even in the case of moderate to low risk, technical debt impacts can change quickly as business needs evolve. These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities?
The main commercial model, from OpenAI, was quicker and easier to deploy and more accurate right out of the box, but the open source alternatives offered security, flexibility, lower costs, and, with additional training, even better accuracy. Finally, in addition to security and flexibility, cost is a key factor.
Efforts to gain market strength As a tour operator, Soltours short- and medium-term objectives focus on continuing to offer innovative solutions to travel agencies, and all of this with the aim of optimizing agency operations with more agile and personalized tools.
The Middle East is rapidly evolving into a global hub for technological innovation, with 2025 set to be a pivotal year in the regions digital landscape. AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance.
AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. Over the next 12 months, IT leaders can look forward to even more innovations, as well as some serious challenges. As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago.
In our fast-changing digital world, it’s essential to sync IT strategies with business objectives for lasting success. Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage. Understanding the competitive landscape is also essential.
With technology rapidly shaping business outcomes, and the tech infrastructure supporting every aspect of business, CIOs much deservedly now occupy a seat at the table. For Shajy Thomas, Regional Head of Tech APAC at Technicolor, technology actively contributes to shaping long-term business outcomes.
Innovate Shane McDaniel, CIO for the City of Seguin, Texas, says his city has grown by about 35% since the 2020 census. McDaniel says this work also creates a strong launchpad for more IT innovation in the upcoming year. Were embracing innovation, he explains. Heres what they resolve to do in the upcoming 12 months.
Digital transformation represented among the largest investments in technology to modernize businesses starting in the early 2000s. With the rise of generative AI, CEOs recognize an opportunity to shift from technology-led digital transformation to executive-led business reformation.
Integrating AI and large language models (LLMs) into business operations unlocks new possibilities for innovation and efficiency, offering the opportunity to grow your top line revenue, and improve bottom line profitability. The need for robust security measures is underscored by several key factors.
Despite the promise generative AI holds for boosting corporate productivity, closing the gap between its potential and business value remains one of CIOs’ chief challenges. Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption.
AI is clearly making its way across the enterprise, with 49% of respondents expecting that the use of AI will be pervasive across all sectors and business functions. Yet, this has raised some important ethical considerations around data privacy, transparency and data governance.
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. As a consequence, these businesses experience increased operational costs and find it difficult to scale or integrate modern technologies. The solutionGenAIis also the beneficiary.
Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. From nimble start-ups to global powerhouses, businesses are hailing AI as the next frontier of digital transformation. AI applications rely heavily on secure data, models, and infrastructure.
Du, one of the largest telecommunications operators in the Middle East, is deploying Oracle Alloy to offer cloud and sovereign AI services to business, government, and public sector organizations in the UAE. However, with the rapid adoption of AI and cloud technologies, concerns over security and data privacy are paramount.
Global professional services firm Marsh McLennan has roughly 40 gen AI applications in production , and CIO Paul Beswick expects the number to soar as demonstrated efficiencies and profit-making innovations sell the C-suite. However, the higher value use cases involve new business models, which require widespread organizational change.”
trillion annually — translating this into compelling business language for the board remains a persistent challenge. The more strategic concern isn’t just the cost— it’s that technical debt is affecting companies’ abilities to create new business, and saps the means to respond to shifting market conditions.
The world must reshape its technology infrastructure to ensure artificial intelligence makes good on its potential as a transformative moment in digital innovation. Its clear that the technology firms must understand how this technology will impact if it is to deliver on the promise of a secure and trustworthy AI.
To some consumers and businesses, alike it may appear companies are exaggerating the significance of this emerging technology. AI this, AI that The reality is that AI is here to stay and will play a massive role in the future of global technology, how consumers interact with it and the way businesses operate.
You know, the personal transport device that flopped in the marketplace and became synonymous with mall security guards. If we remain solely focused on just building better and better AI capabilities, we risk creating an amazing technology without clear applications, public acceptance, or concrete returns for businesses. The Segway.
The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value.
While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks. While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. This puts businesses at greater risk for data breaches.
Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. This creates new risks around data privacy, security, and consistency, making it harder for CIOs to maintain control.
With data central to every aspect of business, the chief data officer has become a highly strategic executive. Todays CDO is focused on helping the organization leverage data as a business asset to drive outcomes. Its a message CDOs have been yelling from the rooftops for some time.
For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes. Operational AI involves applying AI in real-world business operations, enabling end-to-end execution of AI use cases. Today, enterprises are leveraging various types of AI to achieve their goals.
As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. This challenge becomes even greater as businesses use their proprietary data spread across their data infrastructure for fine-tuning and retrieval-augmented generation (RAG) use cases.
This collaboration marks a significant step in driving innovation in cloud services, particularly in the MENA region. This strategic collaboration is an indication of Core42’s commitment to continue enabling businesses with the best technologies available.
For organizations seeking productivity and innovation gains, a best practice is to prioritize use cases based on value, feasibility, and breadth. Does it contribute to business outcomes such as revenue, sustainability, customer experience, or saving lives? Prioritize data quality and security. Identify your top genAI use cases.
INE Security is proud to announce that it has been named a winner in the prestigious 2024 SC Awards, named Best IT Security-Related Training Program. This designation underscores INE Security’s commitment to excellence and leadership in the cybersecurity industry.
Focus on the areas that will enhance business and efficiency,” he says. I believe if you don’t enhance every business process with it, you will simply get left behind.” You’re going to have to innovate, and the way you innovate isn’t by getting it right out the gate. The technology is too novel and evolving,” he says. “As
“Innovate or die,” Peter Drucker’s 1985 exhortation on the importance of constant reinvention, was great business advice for the last 40 or so years. Building an effective GenAI strategy is about much more than launching a point solution or siloed group of tools that only work for one part of the business.
The 2024 Security Priorities study shows that for 72% of IT and security decision makers, their roles have expanded to accommodate new challenges, with Risk management, Securing AI-enabled technology and emerging technologies being added to their plate.
As digital transformation becomes a critical driver of business success, many organizations still measure CIO performance based on traditional IT values rather than transformative outcomes. To drive change, a reworking of what defines CIO/IT success is needed, with a focus on strategic business goals, innovation, and market differentiation.
That’s great, because a strong IT environment is necessary to take advantage of the latest innovations and business opportunities. Leaders who adopt a crawl-walk-run approach, with thoughtful risk-taking and a strategic focus on actions and results, maximize the business value from IT modernization.”
Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Successful pilot projects or well-performing algorithms may give business leaders false hope, he says. Thats where the friction arises.
In addition, innovative AI applications such as driver assistance, smart navigation and predictive maintenance are being used to increase comfort and safety. Well-founded specialist knowledge is necessary for truly effective, secure and legally compliant implementation.
Once synonymous with a simple plastic credit card to a company at the forefront of digital payments, we’ve consistently pushed the boundaries of innovation while respecting tradition and our relationships with our merchants, banks, and customers. Is AI a problem-solver? One example is toil.
Long-term game Business leaders are turning their focus from experimenting with GenAI to exploring long-term use cases that transform business performance and workplace culture for the better. The report shows GenAI is on track to augment human labour in a range of areas, with implications for business models in every industry.
With AI at the epicenter of innovation today, bringing AI into Industry 4.0 has become a powerful solution to existing challenges that have plagued businesses. Its multicloud connectivity capabilities and zero-trust security let enterprises securely power any edge application from wherever they are.
While 2023 saw its emergence as a potent new technology, business leaders are now grappling with how to best leverage its transformative power to grow efficiency, security, and revenue. For example, courses offered by INE Security provide comprehensive training that covers both traditional cybersecurity skills and newer AI-based tools.
But some companies, particularly in the IT sector, now appear to be reevaluating their business models and will consider selling non-core lines of business and products to fund AI projects, says James Brundage, global and Americas technology sector leader at EY, an IT and tax advisory firm.
INE Security is pleased to announce that it has been recognized as a 2024 SC Award finalist in the Excellence Award category for Best IT Security-Related Training Program. We are honored to be recognized as a finalist in the SC Awards for our commitment to excellence in IT security training,” said Dara Warn, CEO of INE Security. “We
Almost every business across the globe now uses Artificial Intelligence (AI) in some form. At the same time, we hear about the dark side of AI with concerns around job displacement, data security and privacy, and minimizing the human touch. This joint focus on CX and EX is integral to sustaining innovation and driving business growth.
Companies eager to harness these benefits can leverage ready-made, budget-friendly models and customize them with proprietary business data to quickly tap into the power of AI. The right generative AI solutions can unlock a world of opportunities for business leaders aiming to increase efficiency, drive productivity, and boost performance.
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