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How today’s enterprise architect juggles strategy, tech and innovation

CIO

In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns. These include everything from technical design to ecosystem management and navigating emerging technology trends like AI.

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The future of data: A 5-pillar approach to modern data management

CIO

In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.

Data 167
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The key to operational AI: Modern data architecture

CIO

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

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When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
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CIOs must mind their own data confidence gap

CIO

As far as many C-suite business and IT executives are concerned, their company data is in great shape, capable of fueling data-driven decision-making and delivering AI-powered solutions. Directors are often more accurate in their confidence assessments, because theyre swimming in the systems, not just reviewing summaries.

Data 195
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The leadership imperative in a technology-enabled society — Balancing IQ, EQ and AQ 

CIO

However, in todays era of rapid technological advancement and societal shifts, especially over the past five years, relying solely on traditional approaches is no longer enough to stay competitive. Success depends on understanding data needs, measuring ROI, fostering organizational AI fluency and partnering with ethically aligned ecosystems.

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IBM and Hispanic Heritage Foundation partner to upskill Latinos for IT careers

CIO

Creating opportunity is key to fostering diversity in the tech industry — and that’s what IBM is aiming to do in partnership with the Hispanic Heritage Foundation. Jumping into AI course, Kaufman quickly learned about “AI’s technical aspects and societal impact.”