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Aligning ESG and technologicalinnovation At the core of this transformation is the CIO, a pivotal player whose role has expanded beyond managing technologicalinnovation to overseeing how these innovations contribute to ESG goals.
New advancements in GenAI technology are set to create more transformative opportunities for tech-savvy enterprises and organisations. The technology can operate autonomously, make decisions based on real-time analysis and, critically, execute on decisions. Smart agents are part of a full stack of technologies and services.
Organizations look at digital transformation as an opportunity to radically improve operations and increase the value of a product or service to the customer by embedding technology into the decision-making fabric and building automation into its functions.
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.
Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks.
A recent report from the Ministry of Communications and InformationTechnology, King Abdullah University of Science and Technology, and consultancy firm Hello Tomorrow highlights the rapid growth of deep tech startups in Saudi Arabia, with 50% of these startups focusing on AI and IoT.
Salima Bhimani has been encouraging the responsible and ethical use of AI for several years as Alphabet’s first chief strategist and director for inclusive and responsible technology, business, and leaders from 2017 to 2023. Now, we have to think about innovation as a way of really reshaping the world so that it works for everybody.
In an era where technology reshapes entire industries, I’ve had the privilege of leading Mastercard on an extraordinary journey. When I think about the technology we started working with early in my career and look at what we’ve been able to do since, it truly is amazing, a global transformation led by and driven through technology.
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 foundation of the solution is also important.
“The critical element lies in automating these steps, enabling rapid, self-learning iterations that propel continued improvement and innovation.” However, research demonstrates that more executives, like Schumacher, recognize the connection between AI and business innovation. Most AI hype has focused on large language models (LLMs).
Chief among these is United ChatGPT for secure employee experimental use and an external-facing LLM that better informs customers about flight delays, known as Every Flight Has a Story, that has already boosted customer satisfaction by 6%, Birnbaum notes. Historically United storytellers had to manually edit templates, which took time.
Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage. Senior business leaders and CIOs must navigate a complex web of competing priorities, such as managing stakeholder expectations, accelerating technologicalinnovation, and maintaining operational efficiency.
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.
Under pressure to deploy AI within their organizations, most CIOs fear they don’t have the knowledge they need about the fast-changing technology. Still, other CIOs are the top choice for getting more information about AI, followed by analyst reports, IT vendors, conferences, and IT media. Blank says.
However, successful AI implementation requires more than cutting-edge technology. At Akeneo, our vision is to empower retailers with a unified platform that transforms fragmented product information into a strategic asset, says Fouache. The disruption isnt in the technology itself but in how it can transform buying behaviours.
To drive change, a reworking of what defines CIO/IT success is needed, with a focus on strategic business goals, innovation, and market differentiation. Business is too dependent on technology as a key driver for both business value and differentiation. The CIO is no longer the chief of “keeping the lights on.”
This will require the adoption of new processes and products, many of which will be dependent on well-trained artificial intelligence-based technologies. For example, employees might inadvertently broadcast corporate secrets by inputting sensitive company information or source code into public-facing AI models and chatbots.
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.
The reason for this shift is simple: While CIOs can often call on talented teams of internal IT professionals to deliver business solutions, no technology department can be expected to generate every innovation necessary to compete in a fast-moving digital age. I would say, right now, I’m a technologist last.
What really matters is determining how to fit every function together to achieve unified goals — chiefly IT and its business counterparts, given the importance technology has organizationwide. It allows businesses to be the best technologically enabled version of themselves,” Upchurch says.
The trick is to ensure they are cashing in on the promise of the technology with real, tangible benefits. But as with any technological investment, AI is what companies make of it. AI investments can also serve as a unifier between humans and technology – helping us to learn better, communicate clearly, and connect faster.
“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. The real power of the technology is its ability to draw on disparate data sets and connect workflows.
It says our job as technology leaders can help educate our audience on what is possible and what it will take to get to their goal. Data quality is a problem that is going to limit the usefulness of AI technologies for the foreseeable future, Brown adds. It starts to inform the art of the possible.
With advanced technologies like AI transforming the business landscape, IT organizations are struggling to find the right talent to keep pace. As the pace of technological advancement accelerates, its becoming increasingly clear that solutions must balance immediate needs with long-term workforce transformation.
In order to predict future developments for the good of all, we will need to absorb and analyze information on an unprecedented scale. But in order for AI to expand, we need new networking technology that boosts transmission speeds and improves responsiveness. Innovative Optical and Wireless Network (IOWN). Innovation
As SaaS and other technology companies began to abandon traditional project management, product-based IT became a bold shift to business value. In some cases, IT buys more than builds technologies, though many SaaS platforms configured with low-code capabilities and integrated into workflows can be repositioned as internal products.
Here are five specific areas to focus on regarding innovation and thought leadership. Innovation is critical despite economic cycles or company performance Especially in difficult times, the board may look for additional ways to improve profit margins and generally tighten the belt.
This will free them to bring their skills and creativity to higher-value activities such as enhancing data security and delivering innovative solutions for customers. Gen AI is a powerful enabler, but sustainable success depends on architectural observability for long-term innovation.
The real strength of the technology is its ability to put incredible power into the hands of everyone – not just the technology team. For the past 10-15 years, business transformation initiatives have been the sole mandate of the technology team.
It is unique because it is both massively technology-driven and can affect every type of job in an organization. By educating users, companies can accelerate adoption, which increases the potential to unlock innovation across teams and business units. Some have compared it to how the internet fundamentally changed the workplace.
The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. This could lead to more shadow AI , which could lead to more security threats and a wider attack surface. Assess your readiness.
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. How can you close security gaps related to the surge in AI apps in order to balance both the benefits and risks of AI?
Maximize value for your customers and employees through greater innovation and you’ll drive growth. Avaya’s innovation without disruption approach acts as a compass for businesses navigating a world of fast transformation. How do businesses balance this tightrope? Learn more about the AI capabilities Avaya seamlessly supports.
To that end, the financial information and analytics firm is developing APIs and examining all methods for “connecting your data to large memory models.” Secondly, how do you give them tools to do different work and innovate?” I think driving down the data, we can come up with some kind of solution.”
CIO Amy Brady wears a vast array of hats in leading KeyBanks Technology, Operations, and Services (KTOS) organization. On a recent episode of the Tech Whisperers podcast, we explored Bradys career journey and leadership philosophies and delved into how she inspires, innovates, and delivers at scale. Theyre not innovative enough.
There are a lot of moving parts acrossour properties, says Erica White, the companys SVP of technology and strategic innovation. Articles technology strategy of creating integrated, scalable systems has been key to success. This information is used to make better site planning decisions in the future.
As CIOs know, a highly acquisitive company will reach an inflection point when years of technology proliferation begin to stymie future growth. For this reason, paying down technical debt while innovating and supporting growth is one of the greatest challenges for the modern CIO. How are you approaching this modernization effort?
The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both. As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. Through relentless innovation.
Leading this mission is Chief Technology Officer, Rafael Sousa, whose dedication to leveraging innovativetechnology has earned him widespread recognition and respect in the healthcare community. This allows patients to easily schedule appointments, ask questions, and obtain information about their treatment.
And the industry itself, which has grown through years of mergers, acquisitions, and technology transformation, has developed a piecemeal approach to technology. That’s more than just a philosophical shift; employees need to be trained in how to incorporate this type of information into their day-to-day workflows.
Thanks to AI, 5G-A, cloud, and other technologies, the physical world is merging with the digital world. The rapid adoption of these technologies is contributing to driving efficiency, reducing operational costs and improving end-user experiences across vertical industries, all contributing to measurable economic improvements.
One of the greatest things about working in technology is the surprise advancements that take the industry by storm. A bleeding-edge technology is one that takes the industry by storm because it creates a significant paradigm shift into how things currently work with the potential to majorly impact the industry itself.
Set clear, measurable metrics around what you want to improve with generative AI, including the pain points and the opportunities, says Shaown Nandi, director of technology at AWS. These insights can help companies address common issues or innovate new solutions to boost customer loyalty and can even extend to consumers views on competitors.
Early adoption of these technologies will empower businesses to continuously refine their strategies, evolve with customer expectations, and create more intuitive, human-centered experiences. As Gen AI capabilities expand, so too will the opportunities for innovation and differentiation.
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