My latest for ComputerWeekly.com: why enterprises need to put their #data on a solid foundation before they attempt AI projects. With viewpoints from Alys Woodward and Nader Henein at Gartner, Tharishni Arumugam at Aon, Daniel Gallego Vico Zylon by PrivateGPT, and Junaid Saiyed of Alation https://lnkd.in/eV4ygjna
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Listen to Jerome Wendt, CEO and Principal Data Protection Analyst of DCIG in our latest episode of #OceanStorTalks, as he discusses the challenges for data infrastructure in the #AI era and offers valuable insights on how to effectively tackle them: https://bit.ly/3l6UJYK #HuaweiStorage
OceanStorTalks-Building Leading Data Infrastructure to Unleash Data Value in the AI Era
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Intelligence's major resource is reality and its data, "the new oil of digital economy", involved in the complex world-AI interactions mediated by data, information or knowledge: the world/environment - action/influence - data/input - intelligence/AI world model - data/output - reaction/behavior - the world/environment. It covers the updated OECD’s definition of an AI system: "a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment". https://lnkd.in/eB2ARtmz
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Citizens expect the same service from government agencies that they get from private organisations. This has consistently driven the Public Sector to focus on digitisation, data, & AI for seamless service delivery. Check out this video to see how the Public Sector is focusing on innovation to become resilient and cost-efficient. Tune in to #EcosystmTV to explore more insights! https://lnkd.in/d-N8cz5N #PublicSector #PublicSectorInnovation #Govtech #DICT #MetaverseSeoul #QuantumSafe #BigDataInstitute #OmnibusAct #Padu #LegislationTwin Peter Carr
The Future of the Public Sector
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Data labeling services to accelerate the adoption of AI in defence. DataX.ai's services can be used to annotate data in any form or structure, including text, images, videos, PDFs, and more. This data can then be used to train machine learning models, develop AI applications, and improve downstream analytics applications. #ADOD24
In the context of the #ADOD24 Data & AI Symposium, we have an exciting new use case! We are offering Data Labeling as a Service to any organization that is sitting on vast volumes of data but is unable to actually do anything with it because the data is not annotated, doesn't have labels and is effectively rendered meaningless. Here is how we give context and meaning to data in ANY format and at scale: https://lnkd.in/gMgE9FBh DoD Chief Digital and Artificial Intelligence Office
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In the context of the #ADOD24 Data & AI Symposium, we have an exciting new use case! We are offering Data Labeling as a Service to any organization that is sitting on vast volumes of data but is unable to actually do anything with it because the data is not annotated, doesn't have labels and is effectively rendered meaningless. Here is how we give context and meaning to data in ANY format and at scale: https://lnkd.in/gMgE9FBh DoD Chief Digital and Artificial Intelligence Office
Data labeling at scale
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The countdown to #MWC2024 is on! ⏳ The spotlight is on the future of technology and the pivotal role AI plays in shaping it. As operators and enterprises gear up for MWC 2024, the message is clear: not having an AI data center strategy in place not only means missing out on potential growth - it could also result in falling behind in our rapidly advancing technological world. DatacenterDynamics has recently published my article on the critical need for AI-driven data center strategies, which emphasizes the potential consequences of not prioritizing this transformative technology. Let's explore why MWC 2024 isn't just a conference but a call to action for operators and enterprises to embrace the power of AI. With this perspective in mind, I pose a question to my network: How are operators and enterprises in your network actively preparing for an AI-centric future? #AI #Technology #DigitalTransformation #Innovation https://lnkd.in/eYCUhzKq
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In a recent panel discussion at the #AMNC24 event hosted by World Economic Forum, John Lombard, CEO, APAC, NTT DATA, Inc. addressed the key challenges in #AI and spoke about NTT DATA's technologies that drive efficient consumption. He also shed light on the practical application of AI across industries and emphasized its ethical and technical use. ▶️ Watch the full recording of the panel discussion here - https://bit.ly/3RSteBQ #Sustainability #GenAI #LLM #Innovation #EnterpriseTechnology
Watch | How ready are countries for AI? | John Lombard
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Great news! Our paper "Task delegation from AI to humans: A principal-agent perspective" has been accepted at the 44th International Conference on Information Systems (ICIS 2023). The conference will take place from December 10 to 13 in Hyderabad, India. The paper explores the collaboration between humans and AI in an increasingly AI-led relationship. The old narrative where humans always take the lead is giving way to a new reality. Building on an interview study with AI delegation experts and the principal-agent theory (PAT) as our theoretical lens, we shed light on tensions in AI-to-human delegation and advocate for innovative mechanisms beyond traditional PAT solutions. Many thanks to my co-authors Anna Walter, Nils Urbach, Dr. Tobias Guggenberger and Peter Hofmann. #ICIS2023 #ResearchPaper #ArtificialIntelligence #HumanAICollaboration #HumanAIDelegation FIM Forschungsinstitut für Informationsmanagement Research Lab for Digital Innovation & Transformation Fraunhofer-Institut für Angewandte Informationstechnik FIT Frankfurt University of Applied Sciences Universität Bayreuth
(PDF) Task delegation from AI to humans: A principal-agent perspective
researchgate.net
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There are multiple factors to take into consideration when we develop AI applications. Business leaders must take their time when choosing fit-for-purpose AI partners to work on their projects.
"Through 2025, at least 30% of GenAI projects will be abandoned after proof of concept due to poor data quality, inadequate risk controls, escalating costs or unclear business value." Gartner Distinguished VP Analyst Arun Chandrasekaran discusses the current state of GenAI, its key use cases/technology landscape, and looks into emerging best practices to safely deploy it in the enterprise live from Gartner Data & Analytics Summit. Explore this session and more now: https://gtnr.it/dageli #GartnerDA #GenAI #AI #Data
10 Best Practices for Scaling Generative AI Across the Enterprise
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Let's discuss how we can help you with Salesforce Data Cloud!
"Through 2025, at least 30% of GenAI projects will be abandoned after proof of concept due to poor data quality, inadequate risk controls, escalating costs or unclear business value." Gartner Distinguished VP Analyst Arun Chandrasekaran discusses the current state of GenAI, its key use cases/technology landscape, and looks into emerging best practices to safely deploy it in the enterprise live from Gartner Data & Analytics Summit. Explore this session and more now: https://gtnr.it/dageli #GartnerDA #GenAI #AI #Data
10 Best Practices for Scaling Generative AI Across the Enterprise
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