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Aligning ESG and technological innovation At the core of this transformation is the CIO, a pivotal player whose role has expanded beyond managing technological innovation to overseeing how these innovations contribute to ESG goals.
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.
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. Apart from boosting engagement and motivation, this facilitates informed decision-making.
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.
Even modest investments in database tooling and paying down some data management debt can relieve database administrators of the tedium of manual updates or reactive monitoring, says Graham McMillan, CTO of Redgate. Gen AI is a powerful enabler, but sustainable success depends on architectural observability for long-term innovation.
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.
After being in telco and consulting for over 20 years, Lena Jenkins got the change she was looking for when she became the chief digital officer at Waste Management New Zealand, the country’s leading materials recovery, recycling, and waste management provider. But managing legacy tech is a challenge.
Enter Akeneo, a global leader in Product Experience Management (PXM) and AI tech stack solutions. At Akeneo, our vision is to empower retailers with a unified platform that transforms fragmented product information into a strategic asset, says Fouache.
Some did manage to scale agile and leverage frameworks to create process standards and improve IT practices. As SaaS and other technology companies began to abandon traditional project management, product-based IT became a bold shift to business value. But many enterprises stopped their agile transformations at this layer.
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. Explore differing AI operating models to find the one that best suits their needs.
At its core, AI represents the opportunity to augment people and their work, and to not only elevate productivity, but also innovate in capabilities and performance. Business and operational model innovation is necessary to adapt to today’s opportunities while also creating a culture of adaptation and innovation for the coming waves.
The pace of innovation is relentless. The next generation promises to deliver the same unstoppable parade of innovation. If the information is public, why make a distinction? Others are building a new layer of intelligence into their APIs so that smarter, more business-savvy decisions can be made about releasing information.
To drive change, a reworking of what defines CIO/IT success is needed, with a focus on strategic business goals, innovation, and market differentiation. Of the top seven metrics, only two — innovation and profit growth — are directly tied to digital transformation goals. It’s a case of “you get what you measure.”
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 technological innovation, and maintaining operational efficiency.
AI and other advanced technologies have the potential to create huge benefits for all of humanity, she says, including solving tough problems such as health and information inequality, but vendors and users need to think about IT in new ways. Will it drive innovation? What’s the benefit to them and to their organizations?
The implications of the ongoing misperception about the data management needs of AI are huge, Armstrong adds. Organizations ready for AI should be able to automate some of the data management work, he says. It starts to inform the art of the possible. Innovation often involves a lot of misfires, he adds.
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.
As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls. While it may sound simplistic, the first step towards managing high-quality data and right-sizing AI is defining the GenAI use cases for your business.
In today’s fast-paced digital environment, enterprises increasingly leverage AI and analytics to strengthen their risk management strategies. By adopting AI-driven approaches, businesses can better anticipate potential threats, make data-informed decisions, and bolster the security of their assets and operations.
Innovating faster with data, domain, and AI expertise By removing artificial barriers to a centrally controlled tech architecture, it is possible for every single business unit owner to implement AI-powered solutions and start iterating and transforming their workflows immediately. To learn more, visit us here.
The power of AI operations (AIOps) and ServiceOps, including BMC Helix Discovery , can transform how you optimize IT operations (ITOps), change management, and service delivery. The companys more recent adoption of BMC ServiceOps has transformed change management processes and IT services management (ITSM) success for his organization.
But because Article was growing so quickly, managing one of the largest student housing portfolios in the US, it needed to be more intentional about operational efficiency. There are a lot of moving parts acrossour properties, says Erica White, the companys SVP of technology and strategic innovation.
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. White says being an enabler isn’t a straightforward role, either.
IT managers are often responsible for not just overseeing an organization’s IT infrastructure but its IT teams as well. To succeed, you need to understand the fundamentals of security, data storage, hardware, software, networking, and IT management frameworks — and how they all work together to deliver business value.
“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. Budgets to build new innovations It’s always a challenge to find the budget to build new innovations and platforms when the primary focus of the CIO is to keep the business running.
For this reason, paying down technical debt while innovating and supporting growth is one of the greatest challenges for the modern CIO. Our business will continue to have the appetite for mergers, acquisitions, and divestitures, so how do we accommodate these integration needs, while still providing product innovation and cost management?
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. Enterprises can manage AI risks at every step of the journey with AI Runtime Security.
Yet, as transformative as GenAI can be, unlocking its full potential requires more than enthusiasm—it demands a strong foundation in data management, infrastructure flexibility, and governance. The Right Foundation Having trustworthy, governed data starts with modern, effective data management and storage practices.
Bogdan Raduta, head of AI at FlowX.AI, says, Gen AI holds big potential for efficiency, insight, and innovation, but its also absolutely important to pinpoint and measure its true benefits. Improving data quality and integrating new data sources to enrich customer and prospect data are vital for applying AI in marketing and sales.
To ensure vendor relationship help their organizations achieve their goals, IT leaders should establish a comprehensive technology vendor management strategy focused on maximizing fit and value. This deepens and elevates your relationship into a strategic partnership and can lead to innovative solutions.”
Leading this mission is Chief Technology Officer, Rafael Sousa, whose dedication to leveraging innovative technology has earned him widespread recognition and respect in the healthcare community. Communication and customer experience were two sore spots, making the integration of innovative communications and contact center solutions a must.
Current strategies to address the IT skills gap Rather than relying solely on hiring external experts, many IT organizations are investing in their existing workforce and exploring innovative tools to empower their non-technical staff. Mona Liddell is a research manager for IDCs CIO Executive Research team.
Data is the engine that powers the corporate decisions we make; from the personalized customer experiences we create to the internal processes we activate and the AI-powered breakthroughs we innovate. Reliance on this invaluable currency brings substantial risks that could severely impact an enterprise.
It is the central ingredient needed to drive underwriting processes, determine accurate pricing, manage claims, and drive customer engagement. 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.
One Identity named Hot Company: Privileged Access Management (PAM) in 12th Cyber Defense Magazines Annual InfoSec Awards during CyberDefenseCon 2024. This award highlights the role One Identity has in advancing privileged access management through solutions including Safeguard, Safeguard On Demand, and PAM Essentials.
Nine of 10 CIOs surveyed by Gartner late last year expressed concerns that managing AI costs was limiting their ability to get value from AI. Also in May, informationmanagement and cloud firm OpenText sold off its application modernization and connectivity business for $2.28
They understand that their strategies, capabilities, resources, and management systems should be configured to support the enterprise’s overarching purpose and goals. He adds that silos can also be a major hinderance to innovation and employee upskilling. Most IT and business executives recognize the necessity of close alignment.
Rohit Badlaney, General Manager of IBM Cloud Product and Industry Platforms, brings more than two decades of experience in his role leading strategy, product management, design, and go-to-market for IBM Cloud. The IBM and VMware relationship goes back two decades and includes our jointly funded innovation lab.
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.”
While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. Threat actors have their eyes set on AI-powered cybersecurity tools that gather information across data sets, which can include confidential information. Take for instance large language models (LLMs) for GenAI.
It’s one of those sayings that sticks around: People quit managers, not jobs. When it comes to why your best IT managers quit, the answer is yes, no, and maybe. But top-tier managers may bail for myriad other reasons, too, even if their own bosses are superstar managers. Because when issues pile up, managers will quit.”
In the early 2000s, Google made headlines for its PhD army – essentially highly skilled experts, ranging from a former rocket science to a former brain surgeon, who were dispersed throughout the business to support its innovation. At the time, they were effectively charged to “boldly go where no one has gone before”.
Agentic AI shifts the dial NTT DATAs report finds that 95% of organisations agree that the technology is driving a new level of creativity and innovation and agentic AI is a major leap forward in the evolution of GenAI. [2] In insurance, we can soon expect to see agentic agents manage the end-to-end workflow for customer engagements.
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. CIOs should also use data lakes to aggregate information from multiple sources, he adds.
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