Vagia Kalliontzi’s Post

Your AI Is Smart, But It Still Needs a Human GPS: A balanced approach to AI amplifies human capabilities within a well-defined governance framework. Human expertise remains central to critical decision-making. Continue reading... #digitalworkplace #aitransparency

The relationship between #AI and information management is transforming how organizations manage and leverage data. As discussed in a recent AIIM article, AI enhances #knowledgemanagement by automating data retrieval and improving decision-making processes, making these operations more intelligent and efficient.   At Mindbreeze, we are at the forefront of this transformation. Our AI-powered solutions are specifically designed to help organizations turn vast amounts of #data into actionable insights, enabling better decision-making and optimizing operational efficiency. https://lnkd.in/dAY6HECv #Mindbreeze #Innovation

As organizations generate large amounts of data locked in documents, finding efficient ways to extract, validate and publish this data is becoming more challenging. With Kanverse's ability to automate document processing tasks, such as data capture, classification, validation, and publishing the data into end systems, businesses can save time, reduce errors, and boost productivity. https://hubs.la/Q02PDMsy0 #AI #apautomation #Autolearning #ML #intelligentautomation

AI is revamping everything in how we collect and analyze data. Our new blog post, What is AI Data Extraction, And How Does It Work, breaks down the process and its real-world applications. Crawlbase is the farseer into the future of how efficiently businesses will extract data! Ready to unlock the potential of AI-powered data? 👉➡👉https://lnkd.in/dcKpQnKd #AI #DataExtraction #Technology #Innovation #Crawlbase

Maximizing the benefits of AI requires more than just tech - it's about culture, vision, and strategic planning. Learn how to effectively implement AI in your organization: https://lnkd.in/eW_Hw6qF #AI #GenerativeAI #GenAI #Data #DigitalTransformation #EnterpriseTransformation 

❓ If you're going to introduce new AI techniques to your workforce, there are 5 key questions you can't miss, according to Gartner: 1. Use Cases: What are the most valuable use cases with the quickest time to value? 2. Skills: Do you have the necessary skills to use these techniques? After all, focusing on the PEOPLE in your organization is a non-negotiable for successful AI implementation. 3. Data: Do you have the data to address the selected use cases? 4. Technology: Given the problem, skills, and data, what are the techniques? 5. Organization: After a few proofs of concept, where should the expertise reside? Get more tips here >> https://hubs.ly/Q02J5WW_0 #AIStrategy

Just as a high-performance engine needs premium fuel, your AI initiatives demand top-quality and accessible data. In our latest blog post, CirrusLabs reveals the roadblocks that poor data quality can throw in your AI journey and how our Data Mastery approach can pave the way for success. Key takeaways: The AI Data Dilemma: Understand the challenges of data quality, accessibility, and bias. CirrusLabs' Solution: Discover how our data mastery approach cleanses, integrates, and governs your data for optimal AI performance. Benefits: Learn how high-quality data leads to accurate, ethical, and actionable AI insights. Read more: https://hubs.ly/Q02GwyWG0 #AIData #DataQuality #DataAccessibility #ActionableInsights #CirrusLabs

New #AI Management Essentials (AIME), "a self-assessment tool designed to help businesses establish robust management practices for the development and use of AI systems", which looks useful to draw on, from #UK Department for Science, Innovation and Technology - who is consulting on the draft https://lnkd.in/eubyaRCU PDF with questionnaire (self-assessment questions) on AI system record, AI policy, #fairness, impact assessment, risk assessment, data management, #bias mitigation, #dataprotection, issue reporting, third party communication (and a useful #glossary) https://lnkd.in/eKtcqUhG Guidance on the tool https://lnkd.in/eyQa_TfT Consultation form on the design, content and use of #AIME (ends 29 Jan 25) https://lnkd.in/ees5MpHp #artificialintelligence

Over the past year, we have all come to recognize some of the initial value that AI brings into our daily routines; from summarizing emails and chats, creating briefing documents, providing natural language overlays to citizen-facing services, and introducing a wealth of information that we can use to make informed decisions. And like many of our customers, governments need to look at ensuring that the introduction of AI capabilities considers the public sector's unique accountabilities: Citizen information needs to be protected, secured and private. The investment needs to return results that show value and benefit to the public. There needs to be transparency and fairness in how AI is used. Above all else - people need to trust the AI programs and services that the government is delivering. If you are in Government and starting to think about how you might realize some tangible benefits with AI, I would highly recommend you start with this article from McKinsey & Company. It's a great piece on how governments worldwide can consider the value that AI solutions and platform can bring into the fields of policy and regulatory development, research and innovation, economic growth and infrastructure modernization, while balancing responsible and ethical approaches to developing new ways of delivering services with AI.

Did you know that over 80% of AI projects fail, with poor data quality, governance issues, and inadequate infrastructure cited as primary reasons?* Should you prioritize higher-quality data or more advanced technology when investing in your company's AI initiatives? Learn more with S&P Global by joining us this Thursday at 1:00 PM EDT. #artificialintelligence #AI #dataquality #ITinfrastructure * (*Source: RAND Corporation and McKinsey, 2024)