Shivanku (Shiv) Misra

Rather than focusing solely on others, individuals should cultivate a profound curiosity for self-discovery, prioritize outcomes over individuals, nurture robust connections, and lead with guidance rather than authority. One fundamental aspect of a profoundly humble leader is their commitment to transparency through openly acknowledging their own errors and weaknesses. Lot to Practice!

28

CIOs in midsize enterprises face challenges in talent attraction and retention due to smaller budgets and limited career opportunities. To compete and get work done, they need to focus on leveraging existing talent and optimizing their strategies. #GartnerIT #TalentStrategy #Leadership

9

In a recent conversation for Databricks “Data + AI Executive Series,” Srinivas Sridhara, PhD MHS, Chief Data and Analytics Officer at Penn Medicine shared invaluable perspectives on: — Centralizing data to mitigate risks and enhance security — AI-driven decision support for clinical care — Focusing on trust and explainability in AI models Discover what Srinivas and over a dozen global executives believe about the transformative impact of data and AI on their businesses. Dive into their insights here: https://dbricks.co/3NuJLZR #DataAIExecutiveSeries

107

1 Comment

AI + Bad Data = Poor Business Outcomes!! The research firm Forrester advises, "Data Quality Is Now the Primary Factor Limiting Gen AI Adoption.” Rx for Leaders 1. Understand and state the problem to be solved 2. Get the Data Right and the Right Data - There is a difference Right Data - Relevance, completeness, Free of Bias, Comprehensive, Right exclusions, etc Data Right - Accurate, absence of duplicates, Right labelling 3. Get involved early and comprehensively in Quality Assurance 4. Fix the root cause of quality data upstream Finally If your data is not good, it is better to scale back AI efforts until this foundation is established. Ref: https://lnkd.in/gZCbzQdV #KrishInsights #DataQuality #AI #BusinessSuccess #Leadership #QualityAssurance

14

4 Comments

With the rise of AI, D&A leaders are actively trying to learn more about how Generative AI (GenAI) can benefit their organization. Understand the key AI challenges and get key actionable insights with Gartner for IT. #GartnerDA #Data #Analytics

1

The convergence of Robotic Process Automation (RPA) and Generative AI is unlocking a new frontier in business operations, with the emergence of "Agentic AI" as a transformative force. While RPA has been pivotal in automating repetitive tasks, integrating Generative AI elevates these systems to a new level of intelligence and adaptability. This fusion enables systems to go beyond executing predefined processes—they can now understand context, make informed decisions, and generate human-like responses. "Agentic AI" introduces AI agents capable of autonomous decision-making and action, significantly enhancing organizational efficiency and innovation. Businesses embracing this integrated approach can achieve dynamic and responsive operations, driving improved outcomes and gaining a competitive edge. This evolution marks the shift from simple automation to intelligent systems, paving the way for more sophisticated and effective business process transformation.

7

Kudos to McKinsey & Company for their landmark anniversary report on #women in the #workplace, sparking profound #personal introspection today Reflecting on the evolving landscape of gender equity in the professional sphere, I'm struck by our strides and the road ahead. My path to #success has been paved with determination, fortified by supporters who believed in me, and occasionally obstructed by those who overlooked my potential. To those incredible champions who've amplified our voices and fostered inclusivity: your impact reverberates. As we navigate this journey, let's remember that our #female colleagues elsewhere are someone's daughter, wife, or sister. By embodying empathy and respect, we catalyze a paradigm shift. Together, let's continue to architect workplaces where talent transcends gender. How are you cultivating equality in your professional #ecosystem? #IBelonghere #womenintech #leadership

14

If you work in Data Analytics, Business Insights, Data Science, Artificial Intelligence, Business Intelligence, Data Strategy, Digital Transformation or Product Development, please read on: I manage a team whose primary areas of expertise include Analytics 360, Adobe Analytics and Tag Manager 360. With Google’s cutting-edge tools at our disposal, we access real-time data insights for our clients and customers. In this fast-changing industry, Analytics 360 offers a vivid depiction of the customer journey, while Tag Manager 360 simplifies the tag integration process, avoiding repeated code tweaks and other updates. We take great pride with bringing Adobe Marketing Analytics to our clients because it equips businesses like yours with deep insights into user behaviors, preferences, and online activities, offering an extensive overview of the digital landscape. Besides Analytics and Intelligence, we also work in Digital Transformation, Data Engineering, AI Solutions, Staffing and Managed Services. If you're interested in learning more about us, I would love to explore potential opportunities for us to work together. Please call or text me today at 512-913-1811. Attention Job Seekers: Please join me every Thursday at 5pm CST to talk about the current job market, behavioral interviewing, S.T.A.R.I. methodology of answering questions and how to get into the Big Tech companies. In February, we covered Amazon/AWS and Microsoft/Azure. This month, we will cover how to get into Samsung, Apple, Google, Nvidia, AMD, Intel, Meta, Netflix, Disney, Uber and Lyft. Please ping me on LinkedIn for the log in details. These weekly sessions are FREE and open to anyone. UnitedHealth Group said Tuesday that its recent cyberattack will cost it between $1.35 billion and $1.6 billion this year. The February attack compromised the ability of physicians and medical care providers to get insurance approval for services across the U.S., tied to Change Healthcare’s billing and payment system. About 80% of physicians are reporting “lost revenue from unpaid claims" from the attack, according to a recent survey. UnitedHealth Group reported a $1.4 billion quarterly loss, in part driven by the sale of its Brazilian business, but still saw revenue rise to $99.8 billion, up from $91.9 billion last year. https://lnkd.in/gbdW-Kcp

4

Healthcare Industry and Coupons, A conversation and best possible way to look at these complicated interactions. #Healthcare, #HIT, #PBM, #PBMs Quick summary: 1. Why coupons? 2. Their strange interaction with Payers and Manufacturers 3. The natural process of Price shifting between patients or payers! 4. How they might look when they are done "ethically" with minimizing side effects it was a fun exercise

1

3 Comments

🚀 Upscaling Generative AI as an Enterprise Platform 🥌 In my experience, adopting Generative AI (GenAI) transcends a mere application choice; it represents a strategic enterprise-wide platform decision that demands careful consideration and alignment with organizational goals. As enterprises embark on their GenAI journey, it's vital to treat scaling efforts with the same strategic approach as previous enterprise-wide initiatives, like cloud adoption. To successfully scale GenAI, consider forming a steering committee that brings together cross-functional stakeholders. This committee will oversee strategic planning, resource allocation, and change management, ensuring a holistic approach to adoption. Have you been part of a steering committee for enterprise-wide initiatives? If so, you will relate with this approach. Looking back at cloud adoption a decade ago, we can draw parallels to today's GenAI landscape. Just as organizations needed to re-architect their IT infrastructure and embrace new workflows for cloud integration, scaling GenAI requires a similar mindset shift and strategic planning. We should start by looking at business processes. Engage with stakeholders from various LoB (lines of business)—clinical, IT, and business—to foster cross-functional collaboration and gather diverse input. Just like we had to explain the business benefits of cloud to everyone during cloud adoption, scaling GenAI warrants similar motion. Educate & Communicate. Don't make assumptions. Adopt an agile approach to development, testing, and deployment, allowing for continuous learning and improvement as you scale GenAI applications. There is so much to be done. My preferred execution model is Scaled Agile Framework (SAFe) Program Increment planning. The goal is to align everyone on a shared vision, prioritize features, identify dependencies, and create a detailed plan for the upcoming Program Increment (PI), which is a time box of 8-12 weeks. Lastly, don't forget the importance of data governance, quality and privacy. Address any challenges and comply with regulations to build trust and pave the way for successful adoption. I have witnessed numerous organizations postponing implementing a comprehensive data strategy and robust data governance practices during previous transformation initiatives, such as cloud adoption. I would strongly advise against repeating these oversights, as they can hinder long-term success and impede the realization of desired outcomes. 💬 Do share your experiences and insights on GenAI adoption in the comments below! 📢 Subscribe to my newsletter to get access to strategies and practical guidance on accelerating adoption of generative AI within your organization. Get started here: https://lnkd.in/g3bdneR7 #genai #ai #aws #cloud #data

13

1 Comment

I'm excited to be heading to SCIP Intellicon in Nashville, April 23-25. One session I’m particularly looking forward to is Anshuman Kelkar from Bayer sharing how he's leveraging AI to transform competitive intelligence. As the pace of change continues to accelerate, innovative technologies like generative AI are becoming essential tools for staying ahead of the curve. Can't wait to connect with other CI professionals and learn about the latest trends and best practices. Who else will be there? #SCIP #Intellicon #competitiveintelligence

38

The Secret to Driving AI Impact Isn't in the Algorithms – It's in the Execution. Over my 10 years in the AI/ML industry, leading teams at IBM Watson, Centene Corporation, and Datavant, I've seen one common thread that separates successful AI initiatives from failures: It’s not just about having the smartest data scientists/MLEs or the most cutting-edge algorithms – it's about bridging the gap between AI potential and business value. Here’s what I've learned about translating AI into real business impact: 1. Start with the Problem, Not the Tech Too often, I see companies enamored with the latest AI trends without a clear understanding of the business problem they aim to solve. The most successful projects I’ve led started with a well-defined pain point. AI is only effective when it’s solving a real, high-priority issue. 2. Build a Cross-Functional Team AI isn't just for data scientists. You need domain experts, product managers, and operational leaders who understand the intricacies of your industry. When I led a project that saved a healthcare company millions, it wasn’t just AI magic – it was a collaborative effort between our tech team and healthcare professionals. 3. Establish a Robust MLOps Framework Early Deploying a model isn't the finish line – it's just the beginning. One of the proudest achievements in my career was building an MLOps platform that allowed my team to monitor, iterate, and scale models efficiently. This ensured our solutions adapted as the business evolved, rather than becoming outdated and irrelevant. 4. AI Governance is Non-Negotiable Data privacy, ethical considerations, and transparency are not just buzzwords. Establishing an AI governance framework should be a top priority. When I implemented AI governance at scale, it not only safeguarded us from potential risks but also built trust with stakeholders, accelerating AI adoption across the organization. 5. Communicate the Value to Non-Technical Stakeholders One of the biggest challenges in AI leadership is getting buy-in from non-technical stakeholders. Early in my career, I struggled with this, but now I focus on framing AI outcomes in terms of revenue, cost savings, or customer experience improvements. This shift in communication led to multiple successful AI initiatives gaining executive sponsorship. 💡 Pro tip: Stop obsessing over “explainability” in purely technical terms. Instead, illustrate how the model’s insights translate into actionable business strategies. I’d love to hear your experiences – what’s the biggest challenge you’ve faced in implementing AI? How did you overcome it? #AILeadership #AIExecution #MLOps #BusinessImpact #AIProductManagement

6

In the short term it makes sense to have a dedicated AI role. In the long term, probably not. It’s not like we have a chief internet officer. Ultimately CTOs will use AI to grow the top line (revenue) and CIOs will use AI to grow the bottom line (efficiency).

1

Learn how technology leaders are stepping into a new era of health equity with the help of AI and ML: https://gag.gl/PKvMfJ. 🌇 Tech is closing the gap in social determinants of health (SDOH) by helping us understand and address the non-medical factors that influence health outcomes. 🔍 With new diagnosis codes focused on SDOH, healthcare providers can now offer personalized care like never before, giving a complete picture of patient health beyond the clinical data. ⚕️ By embracing AI and ML, healthcare organizations are not just treating symptoms, they’re transforming lives and considering the whole person. #HIT #healthcare #SocialDeterminants #SDOH #PatientCare #Innovation

4

Learn how technology leaders are stepping into a new era of health equity with the help of AI and ML: https://gag.gl/PKvMfJ. 🌇 Tech is closing the gap in social determinants of health (SDOH) by helping us understand and address the non-medical factors that influence health outcomes. 🔍 With new diagnosis codes focused on SDOH, healthcare providers can now offer personalized care like never before, giving a complete picture of patient health beyond the clinical data. ⚕️ By embracing AI and ML, healthcare organizations are not just treating symptoms, they’re transforming lives and considering the whole person. #HIT #healthcare #SocialDeterminants #SDOH #PatientCare #Innovation

1