GenAI - CybAI news

29 Jul

ManageEngine: Australian SMEs Aim to Reduce IT Costs Amid Growing Technology Complexity

stp2y0 CommentsGenAI

IT costs are the biggest challenge facing tech leaders in Australian medium-sized enterprises, according to a survey commissioned by IT management software vendor ManageEngine. This challenge is expected to intensify as these enterprises adopt more applications and grow their AI spending. The Digital Intensity in Australia Study, conducted by research house Ecosystm for ManageEngine 24×7, found that many medium-sized enterprises, ranging from 200 to 1,500 employees, are still in the early stages of transforming into fully digital businesses. However, these enterprises are feeling the “digital intensity” of managing multiple cloud environments and an expanding number of applications. This complexity requires…

29 Jul

Shape-shifting ‘transformer bots’ inspired by origami

stp2y0 CommentsGenAIEngineering and Construction; Spintronics; Civil Engineering; Engineering; Spintronics Research; Robotics; Artificial Intelligence; Mathematics

Inspired by the paper-folding art of origami, North Carolina State University engineers have discovered a way to make a single plastic cubed structure transform into more than 1,000 configurations using only three active motors. The findings could pave the way for shape-shifting artificial systems that can take on multiple functions and even carry a load -- like versatile robotic structures used in space, for example. "The question we're asking is how to achieve a number of versatile shapes with the fewest number of actuators powering the shapeshifting," said Jie Yin, associate professor of mechanical and aerospace engineering and co-corresponding author…

29 Jul

Instagram Will Let You Make Custom AI Chatbots—Even Ones Based on Yourself

stp2y0 CommentsGenAIalgorithms, artificial intelligence, chatbots, facebook, instagram, meta

Over the past year, Meta has become an AI success story thanks to its decision to offer robust AI models for free. Last week, the company released a powerful version of its large language model Llama, providing developers, researchers, and startups with free access to a model comparable to the powerful paid model one behind OpenAI’s ChatGPT. The company says its new chatbots are all based on the latest version of Llama.And yet Meta has struggled to find the right tone and niche for its own AI offerings. Last September, the company launched a range of AI chatbots loosely based…

29 Jul

Unified metadata models drive data management advancements – SiliconANGLE

stp2y0 CommentsGenAIChad Wilson, SiliconANGLE, Unified metadata models pave the way for advanced data governance

Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security and value creation. As businesses increasingly leverage artificial intelligence and interconnected data systems, the focus is shifting toward avoiding infrastructure pitfalls and achieving seamless data integration. This shift underscores the importance of strong governance frameworks and standardized data formats to optimize the value derived from organizational data across diverse environments, according to Karthik Ravindran (pictured), general manager of enterprise data at Microsoft Corp.. Microsoft’s Karthik Ravindran talks to theCUBE about unified metadata models.…

29 Jul

Data management solutions transform CDO roles – SiliconANGLE

stp2y0 CommentsGenAIChad Wilson, From data governance to AI: TheCUBE analysts discuss challenges and solutions in data management, SiliconANGLE

The rise of sophisticated data management solutions is transforming the role of chief data officers as businesses navigate a landscape increasingly dominated by artificial intelligence and complex data governance challenges. Despite the rapid advancement of technology, fundamental issues such as data accessibility, security and organizational processes remain persistent hurdles. As companies strive to address these challenges, the need for seamless collaboration among various C-suite executives becomes ever more critical. Additionally, emerging technologies and innovative companies are set to disrupt traditional data platforms, potentially altering the industry’s power dynamics and driving a new era of data management. TheCUBE on set at…

29 Jul

Apple Joins Voluntary U.S. Government Commitment to AI Safety

stp2y0 CommentsGenAI

Apple is the latest addition to the list of public U.S. companies that made voluntary commitments to AI regulations, the White House announced on July 26. The commitments, first announced in September 2023, include vows to publicly disclose AI capabilities, to watermark AI content and more. These commitments set a public standard for the country’s largest AI makers in an effort to reduce deception and other novel, unsafe practices that could stem from realistic-looking AI content or advanced capabilities. The addition of Apple is “further cementing these commitments as cornerstones of responsible AI innovation,” the White House stated in a…

29 Jul

Iterative debuts DataChain for curating and processing unstructured data with AI models – SiliconANGLE

stp2y0 CommentsGenAIIterative debuts DataChain for curating and processing unstructured data with AI models, Mike Wheatley, SiliconANGLE

A startup called Iterative Inc., which is focused on helping to improve and streamline workflows for artificial intelligence engineers, today announced a new open-source tool called DataChain that it says will transform the way unstructured data is curated, processed and evaluated, by using large language models. The company explains that unstructured data is vital for training and fine-tuning the most advanced and sophisticated AI models today. But though it makes up the bulk of information stored by companies on their servers and systems, it’s not easy to put it to use. A recent survey by McKinsey & Company on the…

29 Jul

Mastering data governance in modern analytics – SiliconANGLE

stp2y0 CommentsGenAIMastering data governance: Insights from Fidelity Investments on scaling and emerging technologies, Sead Fadilpasic, SiliconANGLE

The field of data and analytics is rapidly growing and evolving, requiring creativity, skill and a deep understanding of emerging technologies, particularly in data governance. Advanced strategies for scaling, data governance and the balance between art and science in data processing are at the forefront of current discussions. These innovations not only enhance the efficiency and accuracy of data-driven decisions, but also present unique challenges in maintaining data quality and governance across diverse and unstructured data formats, according to Krishna Valluru (pictured), vice president and team leader of advanced strategies and research tech at Fidelity Investments. Fidelity Investments’ Krishna Valluru…

29 Jul

Data cloud for supply chain: Blue Yonder and Snowflake’s innovation – SiliconANGLE

stp2y0 CommentsGenAIBlue Yonder and Snowflake tackling supply chain challenges with AI and data cloud, Brian Njuguna, SiliconANGLE

Since supply chains are accustomed to a siloed data environment, running them in a coordinated way is an uphill task, and this is why a data cloud for supply chain is needed. Through a unified platform and data cloud, Blue Yonder Inc. offers interoperable and resilient supply chain solutions through end-to-end connectivity with the help of Snowflake Inc. because the presence of data silos in supply chain triggers inefficiency based on increased latency and batch, according to Duncan Angove (pictured, right), chief executive officer of Blue Yonder. Snowflake’s Tyler Prince and Blue Yonder’s Duncan Angove talk to theCUBE about the…

29 Jul

Data as a product: Enhancing decision-making with design thinking – SiliconANGLE

stp2y0 CommentsGenAIBrian Njuguna, Revolutionizing decision-making: Embracing data as a product with design thinking and AI, SiliconANGLE

As data continues to be at the epicenter of better decision-making in organizations, viewing data as a product should be part of the compass for enhanced value acceleration. For data to materialize as a product, design thinking is essential because information should be shared in a standardized way using a mesh framework, according to John Spens (pictured), managing director of North America data and AI at Thoughtworks Inc. Thoughtworks’ John Spens takes theCUBE through the data as a product lens. “The principle most quickly embraced by our clients, by individuals I talked to, by myself, was that idea of thinking…