Ron Tolido’s Post

To ensure successful enterprise AI adoption, it’s essential to establish trust and robust data management principles. Yet, many organizations lack clear #generativeAI strategies, particularly in scaling and legal compliance. Just over half of the data executives we surveyed said they have a defined strategy for expanding generative AI projects company-wide. The most recent report from Capgemini Research Institute’s data-powered enterprises series highlights the surge in organizations unlocking value from data for business and financial gains.   Why does the path to becoming a data-powered enterprise turn more demanding as the range of data use cases expands? Join us for this discussion if you wish to find out more: https://lnkd.in/djzqeziD   Meanwhile, you can also download our full report for more insights on Gen AI and #DataOperations. https://bit.ly/3SWvusj   #DataDriven #DataStrategy #BusinessGrowth #GenAI

To ensure successful enterprise AI adoption, it’s essential to establish trust and robust #DataManagement principles. Yet, many organizations lack clear #GenerativeAI strategies, particularly in scaling and legal compliance. Just over half of the data executives we surveyed said they have a defined strategy for expanding generative AI projects company-wide. Download our full report for more insights on Gen AI and #DataOperations ➡️bit.ly/3Tzu3jA4 Follow for more updates! ✅ #FutureOfWork #AIinIndustry #GenAI #DigitalTransformation #Innovation

To ensure successful enterprise AI adoption, it’s essential to establish trust and robust data management principles. Yet, many organizations lack clear #GenerativeAI strategies, particularly in scaling and legal compliance. Just over half of the data executives we surveyed said they have a defined strategy for expanding generative AI projects company-wide. Download our full report for more insights on Gen AI and #DataOperations: bit.ly/3Tzu3jA

To ensure successful enterprise AI adoption, it’s essential to establish trust and robust data management principles. Yet, many organizations lack clear #GenerativeAI strategies, particularly in scaling and legal compliance. Just over half of the data executives we surveyed said they have a defined strategy for expanding generative AI projects company-wide. Download our full report for more insights on Gen AI and #DataOperations: bit.ly/3Tzu3jA

To ensure successful enterprise AI adoption, it’s essential to establish trust and robust data management principles. Yet, many organizations lack clear #GenerativeAI strategies, particularly in scaling and legal compliance. Just over half of the data executives we surveyed said they have a defined strategy for expanding generative AI projects company-wide. Download our full report for more insights on Gen AI and #DataOperations: bit.ly/3Tzu3jA

"AI-Powered Operations: The Key to 2.5x Revenue Growth? [New Accenture Research]". Only 16% of organizations have achieved the highest level of Intelligent Operations. Are you among them? Key findings from Accenture's latest report: 1. Companies with mature Intelligent Operations report 2.5x higher revenue growth (2019-2023) 2. They're 3.3x more likely to successfully scale high-value generative AI use cases 3. 92% of executives see Gen AI as crucial for rapid, at-scale reinvention What sets top performers apart? ★ Modernized data foundations enabling hyper-automation ★ Widespread AI adoption, including rapid Gen AI scaling ★ Real-time analytics driving data-driven decisions ★ Self-service data marketplaces with domain expert curation ★ Decentralized data ownership with federated governance Is your organization reinvention-ready? Discover the four key strategies to accelerate your AI-powered transformation. https://lnkd.in/g27nDWs5 #AI #OperationalExcellence #BusinessGrowth #GenerativeAI #Accenture

"Getting Started with Enterprise AI Governance with IBM's Chief AI Officer" https://lnkd.in/eCv2Hj4J When we bring up the concept of governance in the workplace, people begin to envision roadblocks, delays, and bureaucracy. But when governance is done right, it is no longer a roadblock, but an enabler, a tool we can use to accelerate transformation. AI governance empowers our organizations to move with agility, transparency, and trust as we implement AI. Rather than slowing us down, AI governance enables us to define policies, establish accountability, and integrate digital transformation within our enterprises. IBM provides: - Integrated solutions and products leveraging data. - Information technology. - Expertise across a broad ecosystem of partners and alliances. The following article takes a moment to reflect on a January 2022 interview we conducted with then-Chief AI Officer at IBM, Dr. Seth Dobrin (now CEO of Trustwise), on the following topics: - What is enterprise AI governance? - Why is it valuable? - What steps should you consider taking to initiate effective AI governance policies at your organization? #AI #artificialintelligence #AIgovernance #data #datamanagement

Tobias Zwingmann post critiques the traditional placement of AI within IT departments. IT departments are essential for managing existing systems but are not designed for innovation, which should be driven by the business side. Placing AI talent within IT departments often leads to projects that lack alignment with business objectives, demonstrating the need for business-driven AI initiatives. Business professionals should start with understanding AI basics, identifying real problems suitable for AI solutions, and using accessible tools to experiment and collaborate. The effectiveness of AI in business relies on proactive individual effort and strategic deployment across departments, not confined to IT. #AI #Innovation #BusinessStrategy #CrossFunctional #Technology #AIAdoption #BusinessProblems #Collaboration #IT #StrategicCapability

Data readiness is crucial for the AI revolution, but are organizations prepared? According to a recent report by Profisee, Microsoft, Avanade, and HBR-AS, while AI adoption is a strategic priority for 65% of organizations surveyed, only 10% feel completely ready to adopt AI. Shockingly, 54% of organizations don't have the data foundation required for the new age of AI. The report highlights that 80% of respondents believe that having high-quality data is crucial for the successful adoption of AI. Interestingly, survey respondents said their organizations are working on cleaning data and breaking down data silos to get their data ready for AI, but only 44% of them identified MDM as the solution they're using to do that. At Profisee, we see this as an opportunity to educate folks about how MDM can help their organizations become AI-ready. That's why we offer an MDM solution that's natively integrated with Microsoft Fabric to create consumable data for AI readiness and complement our value proposition. Download the complete report to learn more about the state of data readiness for the AI revolution. #AI #DataReadiness #Technology #Profisee #Microsoft #Avanade #HBRAS

AI has already affected the CIO role, and next year will be no different. In 2025, the technology will test CIOs in new ways while also elevating their role as they process the speed at which AI is being adopted—both internally and externally. Zooming out beyond the CIO role, AI continues to shape the workforce in profound ways. According to a McKinsey & Company survey, the rate of AI adoption is nearly double the rate of both early internet and personal computer adoption. Another promising stat: Per McKinsey, 91% of employees report using generative AI at work and are enthusiastic about its potential to enhance critical skills, from coding to creativity to complex problem-solving.