Google Cloud Security’s Post

"'You have this gigantic, attractive opportunity with generative AI,' says Talaga. 'But it’s a black box. We weren’t very keen on trusting it with sensitive data.' Tines ensures the security of MyFitnessPal’s data, Talaga says. Plus, the LLMs are available directly through the automation platform, so there’s less setup and maintenance work involved than running the models on your own private cloud." Thrilled to be mentioned by Tyler Talaga, Staff Engineer at MyFitnessPal, in this great CIO piece by Maria Korolov on how organizations are using guardrails to help them deploy AI tools securely. Read the full article: https://lnkd.in/gHSA4kVZ

UST strengthens its position in intelligent automation with the acquisition of ISG's automation unit, enhancing service offerings and driving innovation in business transformation. Read the full news - https://lnkd.in/gmU4T9Nv #UST #ISG #IntelligentAutomation #DigitalTransformation #AI #RoboticProcessAutomation #BusinessOptimization #Automation #GenerativeAI #ClientExperience #techedgeai

Filtering through all the hype, one thing is still abundantly clear: out of the gate, companies aren't yet willing to pay the high prices for AI. And the actual use cases are still limited to mundane tasks like summarizing and searching. The anxiety about the impact of wrong information or hallucinating in customer-facing conditions is limiting usage to internal operations and support in call centers, for example. The next several years will see its usage focused on productivity enhancement in workflows. But it has to get more affordable before companies go deeper.

“Mundane” searching and summarizing hundreds of thousands or millions of records is still a major use case. Much like financial services firms were ages ahead of others in using mainframes and desktop computers in the 70s-80s, the value for AI may spread similarly — a different pattern than consumer-facing tech spurring change in the past 24 years. But, given exponential curves associated with AI power, I don’t think there’ll be much of a wait. Companies who possess and regularly need to engage with mountains of data seem willing to pay, and have already been on the path to AI via earlier forms of machine learning. When it’s still cheaper to pay a legion of call center reps in Asia to field inquiries almost like human robots, the switching value for customer service may not be justified. And for physical retail businesses (like Starbucks) whose operations have been routinized and supply chains optimized from tip to tail, the benefits may not *yet* be compelling.

Gartner's findings show nearly 40% of organizations don't trust #AI due to accuracy, bias, and security concerns. It's a valid worry, but it doesn't have to be a roadblock. Here's why: Total AI solutions need to ground #generativeAI responses in truth — based on only approved documentation or product catalogs. By combining the power of #LLMs with proven search and knowledge management technologies, it's possible to ensure accuracy, reduce bias, and maintain security. Want to learn more about quantifying the impact of AI on your business? Get started with our paper with Google Cloud: https://okt.to/Gc2lCg #GenAI #Trust #Accuracy

At Google Cloud Next, leading organizations showcased how they're optimizing their work with Google's AI solutions. Want to explore how AI can benefit your industry? Check out this comprehensive list of 101 real-world use cases from industry leaders. #AI #GoogleCloud #IndustrySolutions #GoogleCloudNext #GoogleCloudNext2024 #GCP #GenerativeAI #LifeatGoogle #vertexai #GoogleGemini

AI is taking off fast – have you prepared your AI flight plan? Research from Forrester forecasts a 150% increase in work output when automating and scaling processes with AI technology. Read more of Forrester’s predictions and discover the six core principles for responsible AI. Plus, grab your copy of our infographic to learn about navigating the AI lifecycle and the different routes to AI through the Microsoft cloud. https://lnkd.in/gdPsDa3p #AI #ArtificialIntelligence #GenAI #ResponsibleAI #AILifecycle #Microsoft #Cloud #LookBeyondToday

#WebinarAlert Join industry experts from Cloud Light House, Everest, and Damco Solutions as they delve further into the adoption of #ai ! Come join us for an interactive webinar on May 15, 2024, at 12 p.m. EST. Explore the five pillars that make up a strategy for AI that is future-ready, ascertain the real return on investment in AI, and resolve security, risk, and governance issues related to AI adoption. Find out how innovations like Azure OpenAI and Microsoft Copilot can improve productivity and produce game-changing outcomes for your #business . Don't miss out this chance to interact with #ctos, #cios, and other influential decision-makers. Register now to secure your spot! https://lnkd.in/gzuK32pY #MicrosoftAI #FutureTech #Webinar

Generative AI is no longer just for the enterprise. By ditching one-size-fits-all AI and embracing mid-sized models, SMBs can rapidly deploy the right LLM tailored to their business needs and implement use cases that offer immediate impact such as internal chatbots, operational automation, short-form copy generation, and more. At Google Cloud, we’ve seen how shifting from large-scale models to focused, midsize solutions like Gemini 1.5 Flash can optimize both performance and budget, delivering tailored and impactful results. https://lnkd.in/gRcZMmwz

Get the best results when developing and deploying #AI Solutions by taking a systematic approach to preparedness. As a #MicrosoftPartner, we can help guide your AI journey with preparatory business strategies. For more information, you can visit our page https://lnkd.in/d-7rSKmB Download the AI preparedness guide to explore the transformative impact of AI and the Microsoft Cloud. #ArtificialIntelligence #Technology #Microsoft #Automation #DigitalTransformation #DataVisualization #MicrosoftCloud #AudaxLabs