Arun Pareek’s Post

𝐈𝐦𝐚𝐠𝐢𝐧𝐞 𝐭𝐡𝐢𝐬: You're building your future as an AI & Data powered organization, but your data foundation is riddled with errors, inconsistencies, non-compliance & silos. Dirty data is noise & data without context is a silent killer. Together they create illusions, leading to flawed insights & unreliable actions. Here is simple math to turn raw data into actionable business advantage through context, experimentation, & real-time insight-driven action. Data (Alone) = Noise Data + Context = Information Experimentation + Error = Experience Information + Experience = Insights Insights + Action = Advantage 𝐖𝐡𝐲 𝐢𝐬 𝐜𝐥𝐞𝐚𝐧 & 𝐜𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥 𝐝𝐚𝐭𝐚 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐟𝐨𝐫 𝐀𝐈 & 𝐃𝐚𝐭𝐚-𝐝𝐫𝐢𝐯𝐞𝐧 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬? 👇 𝐒𝐢𝐥𝐨𝐞𝐝 𝐃𝐚𝐭𝐚 𝐋𝐢𝐦𝐢𝐭𝐬 𝐕𝐚𝐥𝐮𝐞: Data trapped in isolated systems hinders holistic view needed for true intelligence. Vast amounts of raw data that is unsuitable for insights & actions is plain noise. 👇 𝐁𝐢𝐚𝐬𝐞𝐝 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 & 𝐏𝐨𝐨𝐫 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧𝐬: AI algorithms learn from data they're fed. Dirty data with inherent biases or limited context leads to discriminatory, unpredictable, or inaccurate AI models. 👇 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 & 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐓𝐫𝐮𝐬𝐭: Organizations with non-compliant data face regulatory fines & reputational damage. AI systems built on such data further amplify these risks. 𝐇𝐨𝐰 𝐃𝐨𝐞𝐬 𝐁𝐨𝐨𝐦𝐢 𝐓𝐚𝐦𝐞 𝐭𝐡𝐞 𝐃𝐢𝐫𝐭𝐲 𝐃𝐚𝐭𝐚 𝐁𝐞𝐚𝐬𝐭? We are at the forefront of delivering unified AI, APIM, & Datahub capabilities to drive intelligent automation & data-driven decision-making. Our Enterprise Platform promises: ✅ 𝐑𝐞𝐦𝐨𝐯𝐢𝐧𝐠 𝐭𝐡𝐞 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐓𝐫𝐚𝐩: Boomi cleanses & standardizes data whilst it is in motion guaranteeing data accuracy from the get-go. Cleaning dirty data after it enters end systems inevitably delays AI & Data initiatives (adding expense and waste). ✅ 𝐂𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥 𝐄𝐧𝐫𝐢𝐜𝐡𝐦𝐞𝐧𝐭: Boomi allows you to enrich data with additional context while building integration & automation pipelines. It helps understand the "who, what, when, where, and why" behind your data providing AI & Analysis models a richer picture to make nuanced decisions. ✅ 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐀𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Boomi provides ubiquitous connectivity & automation capabilities to seamlessly integrate data sources, applications, APIs, & devices. This empowers you to automate and augment real-time actions to improve business agility. 𝐀𝐈 𝐍𝐞𝐞𝐝𝐬 𝐂𝐥𝐚𝐫𝐢𝐭𝐲, 𝐍𝐨𝐭 𝐂𝐨𝐧𝐟𝐮𝐬𝐢𝐨𝐧. Don't let dirty data hold your AI ambitions hostage. Clean, reliable data empowers your AI to make smarter decisions, generate accurate predictions, automate actions, & fuel responsible innovation. Here is our perspective on Gen AI’s Potential by Strengthening Data and Organizational Readiness through an HBR report: https://lnkd.in/gWcMbS5c #DirtyData Boomi #DataHub #BoomiEnterprisePlatform #hbr #AIAgents #AI

Last week, I had the pleasure of speaking with several Technology and Business Leaders during a Data and AI Event. Quite a learning experience and I gathered invaluable insights from the conversations. Here are my reflections (and a bit of recommendations): The O*NET database provides an overview of all the tasks performed by workers in every occupation in the US economy, and how much time is spent on each task. Unsurprisingly Generative AI can transform the way people work by automating or augmenting tasks. On average, across all occupations and industry verticals, 44% of worker task hours have the potential to be automated or augmented. The economic value of AGI, stemming from productivity gains, quality gains, and value from new products and services, even with a slow-paced AI adoption will be 45 Billion by 2030 for Australia alone ($13.5 Trillion Globally) My biggest takeaway and two-word advice for technologists and leaders: 𝐄𝐦𝐛𝐫𝐚𝐜𝐞 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧. Playing it safe is a recipe for lost advantage. Don't be a spectator in the AGI revolution. Start small, and experiment with data, integration, and automation approaches to secure a competitive edge and meaningful economic advantage. So, I'd urge you to: 1. 𝐋𝐨𝐨𝐤 𝐚𝐭 𝐞𝐯𝐞𝐫𝐲 𝐜𝐨𝐫𝐧𝐞𝐫 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐯𝐚𝐥𝐮𝐞 𝐜𝐡𝐚𝐢𝐧: From personal assistants and virtual assistants enhancing customer experience to automated content creation tailoring personalized engagements, to scheduling and task management streamlining approvals, AGI can optimize every aspect of a business's value chain. 2. 𝐌𝐚𝐤𝐞 𝐃𝐚𝐭𝐚 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐘𝐨𝐮𝐫 𝐏𝐥𝐚𝐲𝐠𝐫𝐨𝐮𝐧𝐝: Generative AI thrives on clean, integrated data that can be used for process automation and decision augmentation. Experimentation here will help you create a seamless information flow – the lifeblood of any successful AGI implementation. 3. 𝐁𝐮𝐢𝐥𝐝 𝐓𝐫𝐮𝐬𝐭 & 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐁𝐮𝐲-𝐢𝐧: AGI solutions, while powerful, can be complex. Every organization is grounding its strategy around AGI. But Strategy without execution is hallucination. So don't wait for a perfect plan. Experimentation will help identify and mitigate risks associated with AGI, such as biased outputs, privacy concerns, and potential misuse. Whatever you do, please 𝐃𝐎 𝐍𝐎𝐓 𝐃𝐎 𝐍𝐎𝐓𝐇𝐈𝐍𝐆. And if you want to do this with a peace of mind, learn how this Enterprise #GenAI Governance Framework can help you assess #AI readiness, identify & manage risks, and enable responsible experimentation/adoption: #Innovation #Data #Integration #Automation #boomi #Experimentation

Here is my reflection for the week. I'd welcome any feedback, thoughts, and comments. Unavoidably, we live in an era where an average enterprise has over 300 SaaS applications. Insane, right? While it is difficult to control the deluge of the SaaS sprawl, the two key principles to limit the extent of complexity are: 1️⃣ Avoid/Rationalize SaaS exchanging data with each other without any direct intervention, especially if the nature of the data is sensitive/proprietary. As a customer you should be in complete control of the data quality and data flow, not the SaaS companies. 2️⃣ Avoid/Rationalize SaaS services that aren't optimized for real-time; rather optimized for batch. SaaS value proposition diminishes when you can't scale, optimize, react, or respond to business events in real time. #solongcomplexity #boomi #hellosimplicity Here is an interesting article on this topic which I would recommend as a must-read:

At our recently concluded Boomi World Event in Denver, we unveiled groundbreaking innovations in AI and our new Enterprise Platform, marking a significant leap in our technological capabilities. We are incredibly excited to bring Boomi World to everyone here in APJ as a Live whiteboard event that touches upon: 1. Groundbreaking Innovation in AI and Agent Garden Framework 2. Unveiling the Next Generation Boomi Enterprise Platform 3. Strategic Expansion and Acquisitions in the APIM Space 4. Unleashing the Power of Data with Boomi Data Hub Join Steve Lucas and our leadership team on June 18th dive into the highlights, insights & a live Q&A. https://bit.ly/3x5aPKG #Boomi #BoomiWorld #Innovation #AI #AgentGarden #EnterprisePlatform #DataHub Alison Te Hira Rebecca Bragg Thomas Lai Josh Rutberg Ed Macosky Andrew Oldham Nathan Gower Wai Kheong Chow Kazunori Hori Roger Bendrien Andrew Zeon David Irecki

I was reflecting on this post much of yesterday. In addition to 100% agreeing with Victor Dominello's thoughts, I believe: 1. AI needs reliable, secure, and current data, but most of the data is fragmented, undiscoverable, difficult to govern, and not securely managed 2. The average enterprise over the years has seen data sprawl to application sprawl, to API sprawl and now there will be thousands if not hundreds of thousands of AI Agents 3. There is not one CIO who is not thinking about who will manage, govern, hydrate, ground, integrate, and train the AI Agents There is profound complexity in any enterprise and the chief culprit is digital fragmentation: a by-product of continued digital shifts and relentless technology sprawl. That is why we at #boomi are on a laser-focused mission to wrangle complexity by providing an enterprise-grade platform that not only bridges APIs, applications, data, databases, AI agents, and AI models, but also accelerates digital transformation. Thomas Lai Ed Macosky Josh Rutberg Nathan Gower Andrew Oldham Jasmine Ee David Irecki Here is a sneak peek of our ground-breaking strategy. https://lnkd.in/g9ngy-Ps

Data Accuracy, Data Completeness, Process Integrity, Trust & Security are four key foundational pillars to drive Practical AI strategies. Must-read insights shared by my colleague David Irecki on BackendNews https://bit.ly/3V7cLvn

I am incredibly proud as well as humbled to witness how technology and technologists are helping the Australian Red Cross deliver real outcomes to an organization, country, and community. It is a privilege to partner with and support Brett Wilson's vision that relies on technology as a means to maximize relief & assistance support to all affected Australians. "The Australian Red Cross is progressively building a digital foundation. We call it (Boomi) the digital spine as it’ll run the entire organization [and it will help change] the way we operate”. Michelle Grange Thomas Lai Jasmine Ee Alison Te Hira Josh Rutberg Ed Macosky Read the full story here:

AI, API and Automation are the bedrock of the Digital and Data Economy and at Boomi, we have never been this excited about our vision, innovation, and execution. We have expanded and deepened the capabilities of the Boomi Enterprise Platform with: 1. Next-generation API management for the AI economy. Check out our major acquisition announcement. 2. An AI agent framework that provides out-of-the-box AI agents (Boomi GPT, PII Insights, Documentation as a Service), pluggability for 3rd party AI agents (Boomi FinTalk in partnership with Vianai Systems, Inc.), as well as the ability to automate AI orchestration workflows. Thousands to follow. 3. Announced Boomi DataHub for enhanced data management to support data quality, data lineage, and metadata management