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In today’s fast-evolving business landscape, environmental, social and governance (ESG) criteria have become fundamental to corporate responsibility and long-term success. This article delves into the transformative potential of AI, genAI and blockchain to drive sustainable innovation.
Even in the case of moderate to low risk, technical debt impacts can change quickly as business needs evolve. Another question is: What separates out debt thats fixed opportunistically versus critical debt that could cripple the business? Using the companys data in LLMs, AI agents, or other generative AI models creates more risk.
As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. This means that the infrastructure needs to provide seamless data mobility and management across these systems. Through relentless innovation.
And he believes these tools not only streamline management and allow for more precise administration of resources, but also open up a range of possibilities to personalize the customer experience. We train and equip our teams with the necessary tools to integrate technology into their daily work, fostering constant and natural innovation.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.
Most IT and business executives recognize the necessity of close alignment. They understand that their strategies, capabilities, resources, and management systems should be configured to support the enterprise’s overarching purpose and goals. Having a seat at the strategy table helps IT push the business forward. “It
Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. These reinvention-ready organizations have 2.5
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.
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.
Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. In this webinar, we'll highlight the critical importance of business and financial acumen in product management. Register now to save your seat!
Once a strictly tech role managing an organizations internal needs, the CIO role has seen a massive tectonic shift. 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. IndiaMART is a tech-first organization.
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 almost all these transformations, one must prove the justification for change and navigate resistance to it, and go above and beyond to develop the business case. So the question that plagues any professional entrusted with or motivated to drive a huge change initiative is how to inspire innovation and foster a culture of excellence.
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.
Decades-old apps designed to retain a limited amount of data due to storage costs at the time are also unlikely to integrate easily with AI tools, says Brian Klingbeil, chief strategy officer at managed services provider Ensono. In many cases, outdated apps are completely blocking AI adoption, Stone says.
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.
To help enterprises overcome these challenges and achieve positive business outcomes, EXL launched EXLerate.AI, its agentic AI platform. Its orchestrator goes beyond simply automating processes; it creates and manages them to ensure efficiency and compliance, from initial data processing to final decision-making.
How and why is Ingram Micro becoming a platform business? But today, were working toward becoming a platform business, and recently re-entered the public eye under the NYSE: INGM ticker symbol. Many digital transformations focus on platforms to support the business, but thats different from running a platform business.
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.
Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. Open source isnt completely free as there are still infrastructure and management costs. Why the open source definition matters to business Metas Llama comes up first in any conversation about open source gen AI.
For its Generative AI Readiness Report, IT services company Avanade surveyed over 3,000 business and IT executives in 10 countries from companies with at least $500 million in annual revenue. Here are key attributes of those who embody this new standard in order to succeed in the current multifaceted business environment.
The business narrative around generative artificial intelligence (GenAI) has been consumed with real-world use cases. However, as GenAI matures and businesses move deeper into enterprise-level adoption, it’s become clear that the most transformative impact of GenAI will be on the very idea of transformation itself.
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. Having the right AI tools will help these employees manage the increasing volume and variety of data and find the competitive edge their organisations need.
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.
Some did manage to scale agile and leverage frameworks to create process standards and improve IT practices. But the work to get business leaders, stakeholders, and end-users to shift to agile mindsets mostly got stuck. Product management addresses the complexities of market research and product strategy definition.
AI is at the core of this vision, driving smart governance, efficient resource management, and enhanced quality of life for residents and visitors alike. GenAI created tremendous interest, and is giving a boost to enterprise AI strategies, and promises to enable many business outcomes.
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. The implications of the ongoing misperception about the data management needs of AI are huge, Armstrong adds. Thats where the friction arises.
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.
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.
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. And the middle contains the trust, risk, and security management (TRiSM) technologies that make it all safe.”
Nate Melby, CIO of Dairyland Power Cooperative, says the Midwestern utility has been churning out large language models (LLMs) that not only automate document summarization but also help manage power grids during storms, for example. In fact, the two technological advancements are fully symbiotic, McCarthy points out.
Salesforces recent State of Commerce report found that 80% of eCommerce businesses already leverage AI solutions. Enter Akeneo, a global leader in Product Experience Management (PXM) and AI tech stack solutions. Enter Akeneo, a global leader in Product Experience Management (PXM) and AI tech stack solutions.
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. Vibram certainly isn’t an isolated case of a company growing its business through tools made available by the CIO.
In this case, your product happens to be beet sugar used as an ingredient in your customers’ food and beverage, confectionery, and other businesses. Suppliers were often hand-delivering paper invoices to the cooperative’s local offices, which were processed and paid out manually with no centralized invoice management.
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.
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.
Such data also has to be placed in environments, be it private or public clouds, that can meet both business requirements and technical needs. In light of these considerations, it has become a growing imperative for business and IT teams to collaborate and align their business priorities for AI use.
To manage this power effectively, companies depend on cloud infrastructures that can handle giant processes at scale. For IT leaders, balancing must-have AI-powered innovation in the cloud with cost efficiency poses a massive challenge. This is driving an unprecedented hunger for extra compute power.
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.
At the end of 2023, Chicago-based Article Student Living was acquired by a global real estate investment company, which allowed the business to expand, and enabled it to make key investments in the high-demand student housing market. According to White, this data-driven approach has resulted in measurable improvements for the business.
“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.
With advanced technologies like AI transforming the business landscape, IT organizations are struggling to find the right talent to keep pace. Knowledge management: GenAI helps organize and retrieve organizational knowledge, making it easier for IT professionals to access the information they need to solve problems and learn new skills.
The key areas we see are having an enterprise AI strategy, a unified governance model and managing the technology costs associated with genAI to present a compelling business case to the executive team. Our research indicates a scramble to identify and experiment with use cases in most business functions within an enterprise.
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