Organizations are increasingly looking to the network edge as the center of data-driven operations. As IT architectures grow in complexity and IoT devices proliferate, edge deployments and deep edge computation give organizations the ability to make data-driven decisions in real-time, without relying on cloud connectivity or external servers. Edge AI takes this a step further, leveraging predictive analytics and pattern recognition to automate tasks like anomaly detection and predictive maintenance. Join the Innovations in Edge Computing summit to explore the latest innovations in edge computing and discover how to harness them to optimize real-time data processing, reduce latency for data-intensive applications and bolster security for edge devices and data.
Legacy IT operations approaches are inefficient with the proliferation of digital environments, applications, services and data involved in modern day business. An effective AIOps roadmap evaluates the most suitable solutions for your organization’s needs to ensure practical approaches and best practices during implementation. Join the two-day Reimagining IT Operations with AI summit to explore how AIOps is changing IT operations teams by simplifying infrastructure optimization, automating routine monitoring, speeding up route cause analyses and reducing MTTR.
Top Stories
Exploring the role of AI in beauty and haircare 29 October 2024 by Esther Ajao and Shaun Sutner When Candace Mitchell was young, she discovered a love for computers and haircare. Her interest in technology led her to study coding in high school, leading her to build websites. Meanwhile, she also considered going to cosmetology school. She found a middle ground in beauty technology, later becoming co-founder and CEO of Myavana, a Black-owned beauty technology vendor. Myavana uses AI technology to analyze hair strands and make haircare recommendations.
Pill bots, agents and solving gen AI’s data challenges: Takeaways from the AI Summit October 29, 2024 by Alan Morrison I had the opportunity courtesy of managing director Sheena Tu of Techequity-ai to attend a good portion of their one-day AI Summit on October 26, 2024 at the Computer History Museum in Mountain View, CA. What follows are a few of the highlights from that day.
LLMs: Agenda tips for the AI alignment and safety summits October 29, 2024 by David Stephen It should be obvious now that what is termed a marginal improvement in AI models are enormous technological leaps and that guardrails for major AI models are a microcosm of AI safety. The United States is organizing an AI safety summit in November [20 and 21, 2024], before the next major AI safety summit in France in February [10 and 11, 2025].
In-Depth
How AI is shaping the future of the healthcare industry October 29, 2024 by Ernest Tarango Innovations in science and technology have changed the way services, and products are delivered across different sectors, and the healthcare sector is no different. In recent times, artificial intelligence (AI) has received a warm welcome in the healthcare industry. We consider how artificial intelligence has framed service delivery in the healthcare industry. We consider the current applications of artificial intelligence, the risks of the applications as well as the future of artificial intelligence in the healthcare industry.
The impact of AI-powered automation on workforce dynamics and job roles October 28, 2024 by Manoj Kumar Workforce dynamics and assigning job roles according to changing workforce nature can be challenging things. You can see that there are various new technologies, techniques, tools, etc that are introduced to different industries that change the working roles.
The scientific quest to decode digital matchmaking October 28, 2024 by Shafeeq Rahaman Matchmaking has existed for millennia across cultures, but technology has rapidly accelerated the search for love in the 20th and 21st centuries. Scientific advancements have enabled deeper analysis of attraction, compatibility and long-term pair bonding.
The critical role of identity verification services in preventing data breaches October 28, 2024 by Erika Balla In the age of digital transformation, data is considered one of the most valuable assets for both businesses and individuals. Organizations across industries collect and store vast amounts of personal and financial information, creating an attractive target for cybercriminals.
Why AI bias is a cybersecurity risk — and how to address it October 23, 2024 by Zachary Amos Artificial intelligence (AI) has made its way into nearly every facet of running a small or mid-sized business in the modern age. When programmed appropriately, AI can improve response time and catch security threats before they become a problem.
DSC Weekly 22 October 2024 October 22, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
