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Enter Gen AI, a transformative force reshaping digital experience analytics (DXA). Gen AI as a catalyst for actionable insights One of the biggest challenges in digital analytics isn’t just understanding what’s happening, but why it’s happening—and doing so at scale, and quickly. That’s where Gen AI comes in.
In today’s rapidly evolving technological landscape, the role of the CIO has transcended simply managing IT infrastructure to becoming a pivotal player in enabling business strategy. This article delves into the six steps of delivering a successful IT strategy.
But the more analytic support we have, the better,” Gonzalo Gortázar CEO of CaixaBank, told IBM. A client once shared how predictive analytics allowed them to spot a rising trend in customer preferences early on. Decision-making based on intuition, common sense, and knowledge is very good and should never be lost.
In our fast-changing digital world, it’s essential to sync IT strategies with business objectives for lasting success. Effective IT strategy requires not just technical expertise but a focus on adaptability and customer-centricity, enabling organizations to stay ahead in a fast-changing marketplace.
Highlighting innovations like AI-driven tools and data analytics, the playbook empowers leaders to streamline processes, enhance candidate experiences , and foster diversity and inclusion. It provides actionable insights for every recruitment stage—from sourcing and screening to onboarding and retention.
A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.
Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose. Strong data strategies de-risk AI adoption, removing barriers to performance. Despite the ambitions many leaders harbour, they face a series of challenges that must be overcome to realise the true value of AI investments.
How do we CISOs adapt our strategies today? While AI-driven analytics and automation hold the promise of enhancing threat detection and response capabilities, they also introduce new attack vectors and vulnerabilities.
To attract and retain top-tier talent in a competitive market, organizations must adopt innovative strategies that help identify the right candidates and create a cultural environment where they can thrive. Leveraging Technology for Smarter Hiring Embracing technology is imperative for optimizing talent acquisition strategies.
But do you have a strategy? Strategy and goals are different. It's your strategy that allows you to make decisions that help you meet your goals in the first place. If you want to have an articulated strategy that you can use to make decisions, stay on-track, and meet your product goals, this is the webinar for you!
The successful execution of AerCaps growth through acquisition strategy involved many moving parts, among them merging two IT departments, a process that has plagued other high profile M&A projects in the past. Business strategy must drive IT decision making Business-first pragmatism is the key to understanding what makes Koletzki tick.
To fully leverage AI and analytics for achieving key business objectives and maximizing return on investment (ROI), modern data management is essential. The faster data is processed, the quicker actionable insights can be generated.” “It’s impossible,” says Shadi Shahin, Vice President of Product Strategy at SAS.
Paul Beswick, CIO of Marsh McLennan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. Simultaneously, major decisions were made to unify the company’s data and analytics platform.
The CDO’s mandate extends beyond mere technology implementation; it encompasses the development of comprehensive digital strategies and the cultivation of a culture that embraces continuous innovation. This holistic strategy should encompass all business areas, including operations, finance, marketing, and customer service.
Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health
Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. You’re invited! Unlocking enhanced levels of value and insight from data using a semantic layer.
Aligning your culture, processes and technology strategy ensures you can adapt to a rapidly changing landscape while staying true to your core purpose. In this role, she empowers and enables the adoption of data, analytics and AI across the enterprise to achieve business outcomes and drive growth.
As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. Cloudera is committed to providing the most optimal architecture for data processing, advanced analytics, and AI while advancing our customers’ cloud journeys.
Allow me, then, to make five predictions on how emerging technology, including AI, and data and analytics advancements will help businesses meet their top challenges in 2025 particularly how their technology investments will drive future growth. Prediction #5: There will be a new wave of Data and Analytics DIY.
Successful digital chiefs combine a nuanced understanding of emerging technologies with strong commercial instincts, aligning sophisticated digital strategies with core enterprise objectives to outpace market shifts and capture new opportunities. This leaders influence also extends into talent strategy.
Speaker: Eric Feinstein, Professional Services Manager, Looker
How to evaluate embedded analytic solutions as strategy to greatly reduce initial and on-going engineering effort. He will discuss working through personas, data types, reporting needs analysis and ultimately how this comes together to form a roadmap for reporting functionality and interface.
research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Nutanix commissioned U.K.
They understand that their strategies, capabilities, resources, and management systems should be configured to support the enterprise’s overarching purpose and goals. Recognize IT and business are inseparable IT and business strategies are now fully intertwined, observes Jay Upchurch, EVP and CIO at analytics vendor SAS.
Think surgical vs. brute force, and ground decisions as much on growth and strategy as on tech stack considerations,” he says. Related: Generative AI’s killer enterprise app just might be ERP ] The firm was using Deltek Vision, which Stanton says is “not well-suited for that — it’s a transactional system, not a data analytics system.”
Meanwhile, AI can also help companies modernize their mainframe strategies, whether it be assisting with moving workloads to the cloud, converting old mainframe code, or training workers in mainframe-related technologies, Goude says. I believe you’re going to see both.” The survey is cementing the fact that the IT world is hybrid,” she says.
Speaker: Yoav Yechiam, Founder and Head Instructor, productMBA
Analytics are highly important for product managers - and yet, analytic implementations often fail to actually help us. Analytics are there to answer important product questions, not just to collect data. How can we be mindful of our analytics so they enable us, rather than confine us?
Paul Beswick, CIO of Marsh McLellan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. Simultaneously, major decisions were made to unify the company’s data and analytics platform.
Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance. With the right investments, policies, and strategies in place, the region is on track to become a global leader in digital transformation.
GenAI is also helping to improve risk assessment via predictive analytics. In one example, BNY Mellon is deploying NVIDIAs DGX SuperPOD AI supercomputer to enable AI-enabled applications, including deposit forecasting, payment automation, predictive trade analytics, and end-of-day cash balances.
CMOs are now at the forefront of crafting holistic customer experiences, leveraging data analytics to gain insights into consumer behavior, and developing strategies that drive engagement across multiple channels. Enhancing decision-making comes from combining insights from marketing analytics and digital data to make informed choices.
As a product or technology leader, you likely know there’s a tremendous value that can be gained from predictive analytics. That said, successful implementation of predictive analytics can feel unpredictable. There are risks that need to be consciously addressed, and successful implementation requires the right strategy.
Here, we explore the key factors impeding IT modernization and provide recommendations to overcome them (with real-world illustrations of strategies). For instance, Capital One successfully transitioned from mainframe systems to a cloud-first strategy by gradually migrating critical applications to Amazon Web Services (AWS).
As a business executive who has led ventures in areas such as space technology or data security and helped bridge research and industry, Ive seen first-hand how rapidly deep tech is moving from the lab into the heart of business strategy. The takeaway is clear: embrace deep tech now, or risk being left behind by those who do.
“This would include measures such as fostering greater flexibility in IT infrastructure, equipping teams to respond swiftly to market developments, and leveraging advanced analytics tools for real-time supply chain insights to proactively anticipate and mitigate potential disruptions effectively.”
I am a key member of the council responsible for formulating the companys business strategy and setting goals, followed by developing 1-year, 3-year, and 5-year plans. CIOs own the gold mine of data Leverage analytics to turn your insights into financial intelligence, thus making tech a profit enabler. These are her top tips: 1.
Computing surveyed 150 individuals representing companies from a wide variety of industries that are actively involved in using, testing, evaluating, or procuring data analytics tools at their organization. Download now to learn: The state of data analytics in end-user organizations.
The demand for ESG initiatives has become an integral part of a company’s strategy for long-term success, offering a promising future for those who embrace them. Supply chain efficiency: AI-driven analytics can optimize logistics and supply chain operations, reducing fuel consumption and emissions.
Sophisticated algorithms and data analytics allow for a more informed selection process based on a candidate’s skills, experience, leadership style, and potential for future growth. They are required to possess a unique blend of hard and soft skills, industry-specific expertise, and a deep understanding of business strategy.
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Data sovereignty and local cloud infrastructure will remain priorities, supported by national cloud strategies, particularly in the GCC. Digital health solutions, including AI-powered diagnostics, telemedicine, and health data analytics, will transform patient care in the healthcare sector.
As PMs, we all know the importance of building a successful product-led growth strategy. Zoom, Stripe, and Airtable are all examples of software companies with strong PLG strategies. What features do their strategies have that allow them to see continued success in this ever-changing market? But what else do they have in common?
For CIOs, the message was clear: Efficiency, future-ready technology, and innovative workforce strategies are essential. They should also implement AI-powered predictive analytics for better decision-making. Without the right talent, even the best technology and transformation strategies will fall short. Address the U.S.-Europe
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CIOs have been able to ride the AI hype cycle to bolster investment in their gen AI strategies, but the AI honeymoon may soon be over, as Gartner recently placed gen AI at the peak of inflated expectations , with the trough of disillusionment not far behind. That doesnt mean investments will dry up overnight.
Real-time analytics. The goal of many modern data architectures is to deliver real-time analytics the ability to perform analytics on new data as it arrives in the environment. A container orchestration system, such as open-source Kubernetes, is often used to automate software deployment, scaling, and management.
Speaker: Azmat Tanauli, Senior Director of Product Strategy at Birst
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