Chris Turlica’s Post

Exciting news! Salesforce and IBM are joining forces to leverage AI and autonomous agents. This partnership promises to set new standards in innovation and operational excellence. Read more in the article attached. #AI #Innovation #TechPartnership #IBM #Salesforce

Expanded Salesforce-IBM AI partnership announced in the areas of AI and autonomous agents. These pre-built agents, powered by both Salesforce's and IBM's data and AI capabilities, will enable enterprises to rapidly select, customize, deploy, and scale more AI and autonomous agents. This collaboration addresses specific industry challenges, enabling businesses to adopt AI solutions more swiftly and on a larger scale.   #Dreamforce #IBMConsulting #watsonx #ai #generativeai

IBM and Salesforce are partnering to bring IBM watsonx AI and Data Platform capabilities to the Salesforce Einstein 1 Platform. "Salesforce and IBM are well positioned to make it easier for customers to get the most value from their data — no matter where it resides — and establish a foundation for customer engagement and trusted AI," said Rahul Auradkar, EVP & GM, United Data Services & Einstein, Salesforce. Without high-quality data, AI cannot work effectively. Prioritizing data quality is 100% necessary to fully utilize AI's potential and is essential for your data management strategies. Don't leave your data behind! Moor Insights & Strategy https://lnkd.in/enVWQRdz

While AI agents have demonstrated some benefits, IT execs say they're hitting roadblocks in data integration and delivery times. Nearly all enterprise IT leaders in a recent survey by Salesforce said they have introduced or plan to introduce AI agents soon. But it's not without its challenges. We're curious: have you found AI agents to be helpful at work, or do they still need to prove their worth? #technews #ainews #artificialintelligence

AI-First: More Transformative Than You Might Think The AI-First approach is setting the stage for the next wave of business transformation. Complex tasks and decision-making are increasingly "outsourced" to GenAI-powered autonomous agents. For some this provokes a resounding “finally!” And rightly so — this is the vision we’ve been striving for: AI taking over routine tasks, allowing us to focus on creative and fulfilling work. That said, the multi-agent paradigm isn’t just an extension of back-office automation, as some might perceive. It’s far more profound and disruptive: #1: CRM and ERP as We Know Them Are Losing Their Ground  The traditional business software model with its rigid forms, workflows, and rule-based processes — is fundamentally changing. In the AI-first, agents take over the tasks of data entry, integration, processing, and updates, reaching out to humans only for critical input. While the underlying business logic and IP remains valid, the execution looks completely different, - from process-driven interaction to proactive, autonomous data handling. #2: Goodbye Graphic UI for Business Applications User interfaces are on the chopping block. The AI-first approach favors multi-modal inputs — text, voice, and video — as primary methods of interaction. ChatGPT already demonstrate this shift: a simple input interface is all that’s needed to engage and direct the system. The endless screens, forms, and drop-downs of enterprise applications — painstakingly learned by employees over years — are becoming irrelevant. Simplicity in interaction is the new game. #3: The Era of SQL Is Nearing Its End  After decades of use, SQL and RDMS are on borrowed time. Why? They are human-engineered constructs that don’t align with natural human ways of organizing information. They struggle with unstructured data and lack compatibility with AI-first path, which focus on similarity, relationships, and context-driven organization. We demand storage and retrieval methods that reflects how humans think and how AI processes — adaptive and interconnected rather than tabular. Clearly, this isn’t a one-day transformation. The enormous landscape of SaaS solutions and the legacy infra around CRMs, ERPs, and SQL means there will be significant resistance — and understandably so. But pioneers of AI-first systems are already realizing the benefits, outperforming their traditional counterparts. It is happening, and it’s time for us to engage deeply with these changes, understanding not just the technology but our roles in this emerging AI-first world. Yes, CRMs without UIs or SQLs are already here — and they are excelling! We need to have open, forward-thinking conversations about what’s next. What’s your role as a human in an AI-first world? On December 6th, I’ll be hosting a bespoke interview with Priti Padhy from nexgAI, moderated by the Yulia Khomych. Together, we’ll unpack what the AI-first approach means for businesses and individuals alike.

So dishwasher and appliance data is different than the healthcare payer data I cross paths with in my role, but the concepts in this post highlight the extraordinary potential of Mule’s AI Chain capabilities. Enjoy!

MuleSoft is transforming how AI works by helping agents connect with data, external systems, and large language models (LLMs) seamlessly and securely. In this blogpost, we unlock & explore this new 'Agentforce x MuleSoft Integration' potential. We imported a vast amount of product specifications for different electrical appliances like dishwashers, ovens, etc. into a Postgres vector database using the MAC connector.  Using the AI connector, we were able to generate answers to different questions from the user. Discover our findings and get inspired by this new potential (by Jovana Vujanić) 👇 #agentforce #mulesoft #integration #agentforcexmulesoft #ai #aiagents

Generative AI is revolutionizing application integration and API management by automating code generation, predicting issues, and optimizing workflows. This approach enhances efficiency, reduces development time, and speeds up time-to-market. It also improves integration quality by proactively identifying errors and vulnerabilities. As Generative AI continues to advance, it promises to drive even more innovations in software development. Exciting times are ahead... #GenerativeAI #AI #APIManagement #ApplicationIntegration #SoftwareDevelopment #Innovation #TechTrends

93% of IT leaders see the value of AI agents, but many struggle to implement them effectively. These tools are revolutionizing remote work by automating tasks, enhancing productivity, and enabling seamless collaboration across distributed teams.  https://lnkd.in/gjp3-3rs  #RemoteTech #AI #FutureOfWork #Automation #TechInnovation

Trust is essential when it comes to #AI. AI agents are transforming how we work, but to truly deliver value they need to be tested thoroughly. That’s why Salesforce is piloting the Agentforce Testing Center: a first-of-its kind tool helping businesses test and manage autonomous AI agents at scale before deploying them. It will help customers refine the accuracy of their agent interactions to improve customer experiences – instilling even more confidence in their autonomous AI strategies. As we move towards the agent-first future, it’s tools like these that will mark the difference: empowering businesses and their AI agents to deliver personalised, efficient, and trusted customer experiences.