Wendy Turner-Williams's Linkedin Analytics

I'm curious. Lately, I've been thinking about the strange dance we call "getting a job" in the era of ATS (Applicant Tracking Systems). Candidates are being trained—no, forced—to customize their resumes to match job descriptions perfectly. Every keyword, every bullet point surgically aligned to bypass the algorithm. Recruiters are being trained to let the "system" sort, and prioritized candidates based on "matches". So here's the million-dollar question: If someone tailors their resume so much that it mirrors the job description word for word...Is that resume a reflection of the person's actual experience, or just a reflection of the algorithm's expectations? I can’t help but wonder how many hiring managers are facepalming three months in, thinking: "Wait, I thought I hired a rockstar... why does this feel like buying a knockoff bag online?" Customization is smart, but overselling through ATS optimization is creating a market of paper-perfect candidates... and real-world mismatches. It's also ATS eating ATS. Maybe it’s time we ask: Are we hiring based on what’s real—or just what’s optimized? Is this legitimate or is this fake? We should also ask ourselves if the job descriptions are correct, or represent the full scope of the role. Most professionals do not work in factory lines with 3-4 black or white tasks - your missing all the grey in between and the art of the functions. Food for thought. I'm seriously curious - are recruiters, and hiring managers feeling a bait and switch? Is anyone else looking for opportunities struggling with this? I'll be honest, I'm haven't been customizing. It feels manipulation of the data for competitive edge. I know I should given the system is rigged this way - but as a long term quality data and decisioning person it gives me serious heartburn and ethical pause to feed a alternative truth world. #recruiting #hiring #ats #careerdevelopment #futureofwork #layoffs #jobreductions #executives #lookingforopportunities #leadership #founders

Director ML & Engineering Opportunity #ml #jobs #hiring #Opportunity

data science lead opportunity #jobs #hiring #opportunities #datascience #datafam

7 Reasons Why Information Fiefdoms Kill Digital Transformation Studies show most digital transformations fail. Information silos are often the hidden culprit. Your organization's knowledge remains trapped while your efforts suffocate. 1: Recognize invisible walls When departments build knowledge bases that rarely connect, initiatives fragment. Marketing can't access Sales data. IT develops without Operations input. • Map knowledge flows between departments • Implement shared digital workspaces • Reward cross-departmental sharing • Establish cross-functional sessions ~ 2: Measure hidden costs Teams duplicate efforts when they can't access existing solutions. Organizations implement unrealistic standards like "5 9's" (99.999%) server patching without risk context. • Calculate time spent searching • Document duplicated work • Track delayed decisions • Measure budget overruns ~ 3: Challenge territorial mindset When departmental metrics don't align with organization goals, information becomes currency. • Revise metrics to reward sharing • Create recognition for collaboration • Remove information gatekeepers • Implement transparent processes ~ 4: Deploy connection technology The right platforms reduce friction in information sharing. • Implement enterprise search • Standardize collaboration platforms • Create API connections • Develop unified dashboards ~ 5: Redesign cross-boundary workflows Information gets trapped between process steps. Transformation requires end-to-end redesign. • Map cross-department processes • Identify where insights get lost • Standardize documentation • Create responsibility matrices ~ 6: Build sharing culture Information sharing happens when people feel psychologically safe. • Start with lessons learned • Celebrate collaboration • Create mentorship programs • Host knowledge fairs ~ 7: Lead by example When leaders maintain silos, transformation efforts falter. • Create unified executive dashboards • Rotate executives across functions • Hold open leadership meetings • Share executive learning ~ What information fiefdom is causing friction in your digital transformation?

Can you imagine a world where AI writes your marketing campaigns, designs your products, and predicts your customers’ needs? Generative AI is reshaping the business landscape by: • Creating dynamic content • Enhancing customer engagement • Optimizing operational efficiency. Leveraging vast datasets, it produces natural language, images, and other outputs with precision. This technology is transforming decision-making processes and streamlining operations. AI-driven innovation will be the key to business success moving forward. Agree?

5 Steps to Creata a Data-Sharing Culture (in just one quarter)

Whose needs a sys admin, IT help desk or cyber hire? Joseph Wheeler is looking for a #opportunity. #jobs #hiring #layoffs #recruiters #cyber #it

Siemens has officially reached 25% increase in operational efficiency. Here's what you probably don't know: When Siemens first started exploring generative AI applications, they faced the challenge of transforming their traditional manufacturing processes. But now they've revolutionized their maintenance systems through generative AI. How did this happen? By focusing on data, not just algorithms. Siemens employs generative AI algorithms to monitor equipment conditions and predict when maintenance should be performed. Their approach combines real-time sensor data with historical analysis, enabling the system to identify patterns that precede equipment failures. The results speak for themselves: - Significant reduction in equipment downtime - Dramatic decrease in unplanned outages - 25% increase in operational efficiency - Optimized maintenance schedules minimizing disruptions For investors looking at industrial AI plays, this is why data infrastructure must come first. Siemens didn't just implement fancy algorithms - they built robust data collection systems that made their AI truly valuable. What's your take on manufacturing firms leveraging generative AI for predictive maintenance? Are you seeing similar ROI in your portfolio companies? *Note: These insights and data are originally from my book "Unleashing the Power of Data with Trusted AI" - check the link in my bio for more case studies on how companies are achieving real ROI from AI investments. ___ Become part of AI's ethical future today. Most practitioners struggle alone with AI implementation challenges and bias risks. TheAssociation.AI unites global AI experts, providing clear frameworks and a powerful collective voice to ensure responsible AI development. ~ Follow Wendy Turner-Williams for more ✅ Repost if this resonated with you ♻️

LinkedIn is the modern-day salon - minus the powdered wigs, plus Wi-Fi. It’s where thinkers, builders, challengers, and corporate philosophers gather, not in velvet-draped parlors, but in algorithmically curated feeds. Here, the bold exchange of ideas is alive and well—from AI ethics to leadership reinvention, from data-driven revolutions to calls for more human-centered design. It's the digital salon of the 21st century: come for the thought leadership, stay for the comment debates that make you pause, ponder, and maybe even change your mind. Plus it's Global! Here's a few I follow: UK 📢 Prof Sandra Wachter: Professor at Oxford Internet Institute, University of Oxford. Kay Firth-Butterfield: Founding Head of AI at the World Economic Forum. France 🔊 Cédric Villani: Mathematician & AI policy leader. Capucine Munuera: Recognized in France’s top AI thinkers list. Germany🎙 Francesca Bria: President of the @Italian Innovation Fund - based in Berlin. Murat Durmus: CEO of AISOMA AG, focused on AI ethics and strategy. Italy 📢 Francesca Rossi: IBM’s Global Leader for AI Ethics. Paolo Benanti: Vatican’s AI ethics advisor. Spain 🔊 Eva Navarro López: Named in the 100 Brilliant Women in AI Ethics. Álvaro Peña de Luna: Leading AI strategist in Spain. Japan 🎙 Yutaka Matsuo: Chair of Japan’s AI strategy committee. China 📢 Yi Zeng: Co-author of the Beijing AI Principles. UAE / Dubai 🔊 Omar Sultan AlOlama: UAE Minister of AI. Dr. Fatma Bazargan: Tech ethics advisor in Dubai-based innovation hubs. Saudi Arabia 🎙 Riyadh AI Network: Represents collective leadership efforts. India 📢 Dr. Rohini Srivathsa: National Technology Officer, Microsoft India. Mexico 🎙 @Lourdes martinez Villasenor – AI researcher at Universidad Panamericana. https://lnkd.in/g9fWeXSb? Africa 📢 Maha Jouini: AI ethics advocate in North Africa. Vrigesh Futta: UNESCO AI ethics and governance consultant. Singapore 🔊 Dr. Ayesha Khanna: CEO, ADDO AI. Hong Kong 🎙 Kellee Tsai: Dean, HKUST, advancing ethical innovation. Australia 📢 Nick Davis: Professor of Emerging Tech, University of Sydney. Toby Walsh FAA FTSE FRSN : Global expert on trustworthy AI. Pakistan 🔊 Ammar Jamshed (MSc DS) United States 🎙 Safiya Noble, Ph.D. : Author of Algorithms of Oppression, UCLA. Elizabeth Kelly: Leader at U.S. AI Safety Institute. Karthik Ravindran: #Data, AI and #Trust leader at Microsoft. Juan M. Lavista Ferres: Former colleague and Microsoft AI 4 Good Leader Erika Voss, PhD: CISO @ BlueYonder Allie K. Miller: Top #AI leader and advisor Steve Nouri: CEO GenAI.Works Cassie Kozyrkov: Founder of Decision Intelligence. #leadership #trailblazers #future #community #aivillage #influencers #follow #datafam #ai #transformation TheAssociation.AI #thoughtleaders #thinkers

"Overqualified" is a mix of ageism, not wanting to pay for experience and fear the candidate will leave for fairer weather. It's also become the new black. A case to follow.

The best data cultures are really just environments where data-conscious decisions are as natural as breathing. Creating this culture isn't a one-time effort—it's continuous. The political nature of data means you need people who aren't afraid to challenge assumptions. Breaking down information fiefdoms requires both political savvy and strategic alignment.

5 key trends reshaping the Chief Data Officer role: • AI merging with Data leadership • Focus shifting from reports to strategy & ethical use • Data by Design taking center stage • AI, Data, Privacy & Cyber Organizational Integration • Skills evolving beyond technical The future CDAIO will be less about producing data and more about responsible AI governance and ethics.

London calling - Sr. Director Analytics & Strategy opportunity #jobs #hiring #opportunities

When I joined Azure Product Engineering, I was stepping into a new org, new culture, and a totally different language than the one I had just come from. I’m a big believer in trying to understand the inside baseball, networking, and support systems, so I asked the EVP who had recruited me for a mentor. Someone influential. Someone who could help me navigate. He gave me a name. A connection was made. But the first meeting was… rough. No intros, no pleasantries, no shared goals, no discussion of strengths or career path. Just: ❌️You’re not technical enough to succeed here. ❌️Your communication style is off. ❌️Your approach is all wrong. Mind you—we’d never worked together before. The feedback wasn’t just harsh—it was flat-out inaccurate. Still, I gave it a second shot. The second session? Even worse. I finally asked my sponsor what, exactly, I was supposed to be learning. His answer? “Nothing. I don’t want you to learn anything from them.” Confused, I asked why he’d connected us. His reply, “Because I want you to learn to not react". My response was it would have been nice to know that to which the response was "You don’t get to choose who’s in the room, or get a heads up. You need to be able to take it and keep going.”. That moment taught me something that no traditional mentorship ever could. Mentors give you guidance. Sponsors? They give you lessons. Hard ones. Strategic ones. Lessons that mold your executive resilience—even if they come disguised as dysfunction. To this day, I’m grateful for that moment. It was brutal. It was deliberate. And it made me stronger. If you're lucky enough to have a real sponsor in your corner—thank them. They don’t just advocate. They fortify. https://lnkd.in/gniMtfUJ #mentors #sponsors #womenintech #executives #leadership #resilience

If you had told me a year ago that I’d be launching a wellness brand rooted in herbs, healing, and heritage—I probably would’ve laughed from behind a spreadsheet or PowerPoint. But here we are. As an ADHD tech exec navigating job loss, layoffs, and the chaotic modern job market, I needed something real—a place to pour my energy, my ideas, my exhaustion, and my healing. Something to build while navigating uncertainty. At first, it was just about movement. Living with chronic illness means every ounce of energy matters. The "spoonie life" is already a challenge—add long-term unemployment, the financial and emotional strain of the founder grind, and let’s just say - there were many days I couldn’t get out of bed. So I started small. Yoga. Walks with the dogs. Exploring the woods on our property. Then I started noticing—plants, lichens, flowers, trees. That led me to herbalist and foraging groups. Then to naturopathy. Then to a local PNW university for courses. Before I knew it, I was deep in the world of tinctures, salves, teas, skincare, and botanical wellness. And I fell in love. Why? Because I'm a lifelong learner. There’s so much depth to this world—its history, its science, its soul. Because it was tangible - I could see it, touch it, smell it - unlike the 0's and 1's I normally live in - for this Oklahoma girl getting my hands dirty feels a bit like home. And because I’m a community builder. Trading seeds, recipes, and herbal hacks with other crafters has filled my cup. And then came the spark: What if I didn’t just make things? What if I helped others do the same? Better tools. Better tracking. Batch tracking & logs. Ratio calculators. Recipe tracking. Education. Supplier NSAT. Community commerce. So while Wicked Roots & Remedies—my personal product line—officially launches today… it’s just the beginning. While I continue to look for my next opportunity I'm also building something bigger: A wildcrafter’s co-op. A community. A living, breathing platform for herbal artisans, wellness seekers, and modern-day alchemists. So if your curious, want to follow the evolution or you love ethically wildcrafted, small-batch skincare and wellness—check out the store. https://lnkd.in/gzvCRBJY And don’t forget—Mother’s Day is almost here. Get something deeply intentional. Deeply real. Crafted with care. Rooted in wisdom. Fueled by resilience. Here is a little launch Love: Get 10% off your first order with code WICKED10. Follow me on Instagram for content, dyi skincare and product drops - @wickedrootsandremedies. #luxuryapothecary #wellness #skincare #founder #chronicillness #spoonie #executives #leadership #communities #layoffs #wickedrootsandremedies #nature

Who ever thinks that data people may not be fun here is the impromptu "Data Stars" picture from this week's DGIQ/EDW/AIGov DATAVERSITY West Conference! I think of this more like "The Data Club". Instead of the detention setting of The Breakfast Club, we met in the usually cool and cloudy Anaheim where shared practical tips, war stories and trends. We geeked out over architecture, change management, governance, quality, master data, metadata, literacy and AI. We delivered keynotes, sessions, puppet shows and lots of fun! Instead of basket cases, criminals, nerds or princesses we have some of the best #DataandAI #strategist #Thoughtleaders, #Influencers, #Practitioners, #Futurists, #Podcast #Authors, #Educators, Community Builders and #changeagents in the world! Top to Bottom and left to right. Tony Shaw Cher (The Datanista) Fox,💎CDMP Dr. Irina Steenbeek SCOTT Olúwafẹ́mi TAYLOR Mark Madsen Juan Sequeda Tim Gasper Danette McGilvray Marilu Lopez David Alzamendi David Kowalski Tom Redman Shannon Kempe Myself Peter Aiken Meenu Howland, CPBI, CSM, CDMP Karen Lopez Len Silverston Andrew Andrews Kamal🚀 Maheshwari Frank Cerwin Malcolm Hawker Mathias Vercauteren Sunil Soares #fun #datafam #leaders

90% of data governance initiatives fail because of culture. And we’re shocked when 42% of AI initiatives fail? https://lnkd.in/gfMPETZM AI doesn’t just inherit our data systems—it inherits your culture, too. If your organization still treats governance like a gate, or treats data like an afterthought, you’re not “AI-ready.” You’re building on sand. What if you could codify strategy and culture into the actual delivery process? Not just talk about it. Not just strategy or culture on a slide. Not just train about it. Actually embed it.❤️ Imagine if: ✅️Engineers didn’t just ship code—they shipped trust. ✅️Governance wasn’t just policy on paper —it was automatically enforced. ✅️Risk awareness wasn’t a check—it was muscle memory. This is what happens when culture, strategy, and execution stop living in silos—and start living in your systems. It's not fictious nirvana. I know it’s possible—because I’ve done it. You see, I don’t write frameworks that sit on a shelf. I embed them into the muscle memory of organizations. Take the Azure Engineering Fundamentals program. When Azure was in its infancy - a foundational shift was needed. Engineers had to move from a long-tail box product mindset to cloud-native and service-based. One where services were stacked, and dependent on other services. Services that could ship in a day - a very different mindset, tools set and even architectural approach. To ensure availability, extensibility, scalability and trust we had to embed privacy, availability, BCDR, capacity, monitoring, security, risk, telemetry—not just into policies, but into the SDLC itself. I built the tooling. We embedded it in the process. We trained leaders to reinforce it. We watched teams internalize it. Then we watched decisioning made against it. Incident rates dropped. Security and compliance reviews were aced. Certifications rolled. Engineering confidence rose. Compliance became just how we build. This is what I call Data by Design—but it applies to AI, ethics, and trust, too. If you can’t embed it, you can’t scale it., And if we don’t scale cultural readiness now, AI will inherit our failures. #ai #future #data #artificalintelligence #datagoverance #governance #ethics #responsibleuse #cyber #privacy #compliance #datafam #cto #cdaio #cdo #executives #culture

Let’s stop pretending it’s business as usual. We’re Living Through the Greatest White-Collar Depression of Our Time. Over the past five years, professionals have faced one relentless wave after another. COVID redefined work. Inflation swallowed raises, and even worse evaporated jobs. Now tariffs have triggered economic whiplash. Recent data from the Bureau of Labor Statistics shows 248,000 white-collar jobs have been lost since May 2024, marking a 17-month decline not seen since major financial crises. In fact, 25% of all job losses in 2024 were in the professional and business services sectors. https://lnkd.in/gPg5HCN5 Companies slashed headcount stating pandemic overhiring, and inflation. Yet, shortly rehired at a much lower salary and reported record earnings. And what are we seeing in response? 41% of firms plan workforce reductions due to AI, yet 89% report no ROI. It’s cost-cutting without vision, and it’s hollowing out teams already pushed to the brink. Let’s be honest: the tech sector in particular has always been brutal. From the dot-com crash, to the 2008 recession, to post-COVID volatility, we’ve accepted long hours, unstable priorities, cutthroat culture, egos and outdated management styles—all in the name of innovation. Now, it’s also become ageist, extractive, and unsustainable. A 2024 CIO.com report found 65% of engineers experienced burnout, and 1 in 3 tech workers fear they’re “too old” to stay relevant. And through it all, we’re expected to pivot, upskill, and stay “grateful.” https://lnkd.in/gyA2BV2g Let me be clear: AI is not the enemy. The enemy is a profit over people, short-sighted leadership, poor collaboration, action and the lack of policy. The systems we’ve built around education, labor, and economic security - They just weren’t designed for this velocity or pace of change. If we want a future that’s both AI-powered and human-centered, we need: 1️⃣Education reform & reskilling at scale 2️⃣Updated job training, employment and economic protections 3️⃣Policies that align innovation with economic equity 4️⃣Cultural shifts in how we treat professionals not as disposable labor but as strategic assets 5️⃣Global Universal Basic Income as the existing economic processes will not work for a jobless economy or even a major shift in jobs Professionals are the automation target. But we’re also the ones best equipped to shape this future—if we’re still standing. Let’s stop blaming individuals and start demanding systems that evolve with us. Be active. #economy #future #humans #ai #professionals #leadership #policy #ubi #education #training #tomorrow #datafam TheAssociation.AI #jobs #layoffs #opportunities #workforce

A whirlwind 24 hrs for the DATAVERSITY DGIQ + AIGov West 2025 conference in #Anaheim. A keynote panel this morning with Kelle O'Neal, C. Lwanga Yonke and Stephanie Valarezo on Adapting To Change: Professionally and Personally. A incredibly relevant topic given the rapid-pace of technology change, the rise of #GenerativeAI, the political shifts and the rippling impacts to global jobs and economic systems. Then a afternoon session with the lovely Meenu Howland, CPBI, CSM, CDMP on Data Management - The AI Differentiator. Meenu and I shared a 7 step framework that enables you to manage the people, process, data, technology and risk landscapes not only for today but the #databydesign and the future-proof e2e automations that seamlessly enables you to extend and scale each of those dimensions tomorrow, next month or for years to come. Instead of "talking" data-driven culture, walk your talk and automate your cultural DNA. As Malcolm Hawker said today don't skate to the puck, instead skate to where you anticipate the puck to be. Today Meenu and I shared exactly how to do this! Of course, my favorite aspect of any conference is the people - new friends and old. It was lovely to spend time with Tony Shaw, Robert S. Seiner, Dr. Christina Sandema-Sombe, Juan Sequeda, Tim Gasper, Malcolm Hawker, Peter Aiken, SCOTT Olúwafẹ́mi TAYLOR, Dr. Irina Steenbeek, Sunil Soares, Tom Redman and others! Happy learning, networking and safe travels everyone! #data #ai #datafam #leadership #future #thoughtleadership #ethicalai #dama #tech #community #dataquality #datamanagement #governance #regulations #privacy #cybersecurity TheAssociation.AI Culstrata-AI

The best career insurance is really just helping others: - Build communities during good times and bad - Connect people to opportunities even when unemployed - Share knowledge freely with no expectation of return - Create spaces for collaborative problem-solving Maintain relationships across organizational boundaries. When unexpected career disruptions happen, those you've helped become your strongest advocates and connectors, creating a resilience network that survives beyond any single employer. Positive impact community-building is everything. ___ Become part of AI's ethical future today. Most practitioners struggle alone with AI implementation challenges and bias risks. TheAssociation.AI unites global AI experts, providing clear frameworks and a powerful collective voice to ensure responsible AI development. ~ ✅ Follow Wendy Turner-Williams for more ♻️ Repost if this resonated with you