The retail and consumer packaged goods (CPG) industry has undergone significant transformations due to advancements in technology. Technological innovations have reshaped various aspects of the industry, including customer engagement, inventory optimization, and supply chain management. These innovations have helped drive digital transformation, improve operational efficiency, enhance the customer experience, and promote sustainability.
Artificial intelligence (AI) is one of the hottest topics in the world today, there are so much potential for this technology to help all sorts of Enterprise challenges. HEAL has been a leader in leveraging AI to help IT operations management for years. Our customers include some of the largest banks to the largest telcos in the world, working with them has enabled us to strengthen the AI in our core product to address many of the challenges faced by corporations large and small.
As general manager of the Oakland Athletics, Billy Beane applied statistical analysis (also known as sabermetrics) to the evaluation of baseball players, which enabled the team to excel in the 2020 season. Beane was the subject of Michael Lewis’s book “Moneyball,” which was made into a movie starring Brad Pitt as Beane.
It’s no surprise that AI is rapidly becoming the most powerful tool for developers. The ease of use and accuracy of such tools can even generate code snippets for a website written entirely on a napkin! While the potential of AI is exciting, it is crucial to address the potential vulnerabilities that bad actors can exploit within AI systems.
In the blog “How Generative AI Can Benefit Knowledge Management”, we looked at the benefits of AI to knowledge management to enhance the quality, automating the creation of content and enabling more engaging content. In enabling generative AI to become part of the knowledge management framework introduces concerns about accuracy, data bias, privacy and security. Now, it’s time to look at how we can make it work well together...
Elasticsearch® has been used by developers to build search experiences for over a decade. At Microsoft Build this year, we announced the launch of Elasticsearch Relevance Engine™ — a set of tools to enable developers to build AI-powered search applications. With generative AI, large language models (LLMs), and vector search capabilities gaining mindshare, we are delighted to expand our range of tools and enable our customers in building the next generation of search apps.
Cyberattack prevention involves proactive steps organizations take to protect their digital assets, networks, and systems from potential cyber threats. Preventive measures, such as a combination of best practices, policies, and technologies, are employed to identify and mitigate security breaches before they can cause significant damage.
Once upon a time, not so long ago, the world was a different place. The idea of a "smartphone" was still a novelty, and the mobile phone was primarily a tool for making calls and, perhaps, sending the occasional text message. Yes, we had "smart" phones, but they were simpler, mostly geared toward business users and mostly used for, well, phone stuff. Web browsing? It was there, but light, not something you'd do for hours.
The world of AI and machine learning has evolved at an accelerated pace these past few years, and the advent of ChatGPT, DALL-E, and Stable Diffusion has brought a lot of additional attention to the topic. Being aware of this, Grafana Labs prepared an integration for monitoring one of the most used machine learning model servers available: TensorFlow Serving. TensorFlow Serving is an open source, flexible serving system built to support the use of machine learning models at scale.
There has been growing interest in the capabilities of generative AI since the release of tools like ChatGPT, Google Bard, Amazon Large Language Models and Microsoft Bing. With the hype comes concerns about privacy, PII, security and, even more importantly, accuracy. And rightly so. Organizations are treading cautiously with their acceptance of generative AI tools, despite seeing them as a game changer.
The world of DevOps is constantly evolving and adapting to the needs of the software development industry. With the increasing demand for faster and more efficient software delivery, organizations are turning to modern technologies and practices to help them meet these challenges. In a series of articles on the Kublr blog, we will take a look at some of today’s top DevOps trends.
Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week we are exploring how generative AI can change the future of healthcare. Step into the world of generative AI, the fascinating field of AI that’s got everyone in the healthcare industry buzzing.
Quickly: if you’re interested in observability for LLMs, we’d love to talk to you! And now for our regularly scheduled content: In early May, we released the first version of our new natural language querying interface, Query Assistant. We also talked a lot about the hard stuff we encountered when building and releasing this feature to all Honeycomb customers. But what we didn’t talk about was how we know how our use of an LLM is doing in production!
Hot on the heels of the ServiceNow® Generative AI Controller and Now Assist for Search product announcements, I’m excited to announce our latest generative AI product: Now Assist for Virtual Agent. It builds on ServiceNow’s strategy to embed generative AI across the Now Platform® by helping to enable truly conversational self-service experiences.
Artificial Intelligence (AI) is revolutionizing the business landscape, offering immense potential to transform organizations into exponential enterprises. ServiceNow, recognized as the "engine of the enterprise," envisions a future of work where AI-powered solutions automate processes, enhance decision-making, and extract valuable insights from data.
Artificial Intelligence (AI) is the current buzz word in IT with AI promoted as the magic ingredient for improving business performance across a wide range of areas. But how, specifically, does AI enhance Network Management? The idea that computers can manage themselves is nothing new.
In today’s rapidly evolving technological landscape, companies continue to explore ways to innovate and stay ahead of the competition. One of the most promising technologies available today for companies is Generative AI, which helps automate creative tasks that were previously only possible through human intervention. The use of Generative AI in companies has grown rapidly over the years due to its numerous benefits such as increased productivity and efficiency while minimizing costs.
The rollout of new technology can come with hesitation and even fear, and generative AI is no different. The New York Times in February 2023 dubbed the popularity of ChatGPT a “phenomenon” that started an AI arms race – one that wasn’t exactly welcomed by news writers, marketing agencies, or business leaders.
SAPPHIRE 2023 marked another significant milestone, leaving a lasting impression in the books. Returning to the Orlando Convention Center, the event had that ‘SAP energy’ we’re used to as thousands of like minded individuals congregated to exchange experiences, delve into SAP's upcoming plans, and foster valuable connections. Going beyond the walls of the convention center, SAPPHIRE extended its reach into the surrounding areas of Orlando.
Generative artificial intelligence (GAI) is undoubtedly one of the biggest trends across industries in 2023. In a recent survey, almost two-thirds of executives believe generative AI will have a high or extremely high impact on their organization in the next three to five years. Executives anticipate spending the next 6–12 months focused on increasing their understanding of how generative AI works, evaluating internal capabilities, and investing in generative AI tools.
As a proud sponsor of SCOMathon 2023, GripMatix had the opportunity to showcase the application of SCOM-AI GPT, which integrates your SCOM alerts with ChatGPT, with our existing SCOM Management Packs for monitoring Citrix. The session titled 'Going Beyond Citrix Director with MetrixInsight, SCOM, and SCOM-AI GPT' demonstrated the potential of these combined technologies in enhancing Citrix monitoring beyond the capabilities of Citrix Director.
When it comes to keeping your business’s lights on, you need to manage and orchestrate your operational activities, prioritize high-impact and urgent work, and maintain day-to-day precision. Trust is paramount during mission-critical, time-sensitive crisis response and the narrow margin for error means there is little room and low acceptance for generative AI hallucinations or false positives.
The retail industry is going through a period of major upheaval. AI is transforming the landscape at a rapid pace. Grand View Research evaluated the market value at USD 5.79 billion in 2021 and this is expected to grow at a 23.9% compound annual growth rate (CAGR) from 2022 to 2030. For retailers, this translates into a need to adapt to an entirely new paradigm of customer expectations.
