As organizations pursue cloud initiatives to support digital transformation, multi-cloud strategies have grown in popularity. However, many organizations have experienced challenges as they scale multi-cloud projects, including difficulties interconnecting disparate platforms, optimizing costs and establishing visibility across various cloud environments. Register for The Power of Multi-Cloud summit for insights from industry experts and solution providers to help navigate the complexities of multi-cloud initiatives and fully leverage its benefits.
Financial companies are increasingly tapping into AI-as-a-service, edge computing, and data analytics to shape the industry’s future. These technologies are revolutionizing finance teams while enhancing innovation, performance and decision-making. Join industry experts and CFOs at the upcoming Transforming Finance in the Cloud Era summit for advice on leveraging analytics, PaaS, digital ERP systems and more to optimize accounting and accelerate digital transformation.
Top Stories
Computing: Benchmarks, evaluations for superintelligence alignment, AGI safety July 29, 2024 by David Stephen What is human poetry intelligence? Or, what does it take for the human mind to produce excellent poetry? Poetry can be summarized to involve two factors, memory and relay. Memory is equivalent to information. Relay is how information becomes available [learning, experience] and how it is used [experience, expression, semantics, syntax, behavior and so on].
ESG: The “Vital Signs” for Responsible and Ethical AI Outcomes July 28, 2024 by Bill Schmarzo While Artificial Intelligence (AI) models can potentially transform our personal and professional lives, they pose significant challenges and risks for our society. To ensure that AI models produce relevant, meaningful, responsible, and ethical outcomes, we need to consider the impact of those outcomes on the environment, society, and its constituents.
A generative AI reality check for enterprises July 29, 2024 by Alan Morrison Wall Street now agrees that generative AI is past the Peak of Inflated Expectations and heading down into the Trough of Disillusionment, Analysts are starting to paint a clearer picture of how far expectations have fallen, “expecting Big Tech companies to spend $60 billion a year on developing AI models by 2026, but reap only $20 billion a year in revenue from AI by that point,” according to Gerrit De Vynck in the Washington Post, who cited Barclays in a July 24, 2024 article.
In-Depth
A proposed framework for construction 4.0 July 30, 2024 by John Lee The ongoing fourth industrial revolution underpins Industry 4.0. IT uses cyber-physical systems and advanced digital technologies. Integration and complex real-world scenarios are possible with the fourth industrial revolution. In 2011, the German government introduced INDUSTRIE 4.0, a vision for the future of manufacturing (Roblek, Meško, & Krapež, 2016).
Data warehousing reinvented- Using the AI advantage July 30, 2024 by Ryan Williamson It has become essential for companies and organizations to manage data efficiently. The management of data involves many layers including its storage and analysis of this data for decision making, which was earlier done by keeping multiple servers in the organization’s premises.
Can machine learning predict student outcomes? July 26, 2024 by Zachary Amos Predicting student performance is crucial for educational institutions aiming to enhance learning outcomes and provide timely support. Anticipating academic challenges and identifying at-risk pupils early allows schools to implement targeted interventions to improve success rates. Machine learning is crucial in this predictive process.
DSC Weekly 23 July 2024 July 23, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
