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Data accrual is reaching a fever pitch. It’s exciting: It makes the possibilities of technologies #AI so promising. But these massive amounts of (often sensitive) data are also a challenge to secure. Data insecurity is an evident drawback of the current AI rush: According to a report by Rubrik Zero Labs, more than two-thirds of security leaders believe the rapid growth of data is outpacing their ability to keep information secure. And to add to that, a new IBM study found that 70% of business executives care more about innovation than the security of their #generativeAI projects. At Opaque Systems, our core objective is to ensure innovation and security are not at odds. We aim to arm businesses with the guidance and tools to manage sensitive data within AI systems without compromising privacy or disrupting the pace of innovation. There’s a lot to talk about at the intersection of data security and AI deployment, so we launched a newsletter: AI Confidential. This bi-weekly is meant to spark conversation, share updates on our latest improvements, and highlight insights from the forefront of #confidentialAI. In our first issue, we uncovered the evolution of data anonymization. Our co-founder Rishabh Poddar broke down the importance of adopting a confidential computing strategy, which allows companies to secure sensitive data, and extend that security by building an infrastructure through which teams can analyze and share data—both across the organization and with external partners. Sign up to dive deeper into this post, get the latest Opaque Systems updates, and more today: https://lnkd.in/daqweCNt

TheCUBE’s AnalystANGLE on #BHUSA 👀 ... discussing the biggest hindrance to AI. Join the 3-analyst panel with Savannah Peterson, John Furrier and Zeus Kerravala to explore where companies struggle the most when it comes to dealing with AI today. “The biggest hindrance to AI today is what to do with data. About a year ago, companies were trying to consolidate their data into one big database or data lake. They realized that it’s not really practical. You can't keep copying your data and moving it everywhere. To me, that's been the biggest barrier,” Kerravala shares. “If I leave too much data in too many places, I have to think about how to protect it. When you look at everything that you've seen AI for security doing, there hasn't been a lot of talk about security for AI -- ‘how I secure my data and my AI.’ That's been a missing piece, because I think it's hard to do and nobody's really figured out how to do that yet,” he adds. 📺 Watch the complete analysis: https://lnkd.in/gPvDv86c Black Hat

In today's global landscape, maintaining high standards in data security and ethical practices is crucial. 🌍🔒 By ensuring your analytics processes are ethical and secure, you not only comply with global standards but also build trust with your clients and stakeholders. Visit our website: dakesolutions.com Share or comment if you agree! #Analytics #DataManagement #BusinessGrowth #bestoftheday #followme #expertadvice #AnalyticsMaturity #DataDriven #BusinessGrowth #dakesolutions #DataAnalytics #MachineLearning #BigData #AI #DataScience #TechInnovation #BusinessIntelligence #DigitalTransformation #DataSecurity #EthicalAI #CustomSolutions #PredictiveAnalytics #DataDriven #TechLeadership #ROI #SmartData #AdvancedAnalytics #InnovationInTech #BusinessGrowth #Industry4_0

 ⌛ Only 2 Days Left! ⌛ ❗ Don't let time slip away ❗ Join our AI Forum Executive Briefing Series this week and delve into crucial insights on securing your data in the AI era. Discover why safeguarding your business's information is paramount in today's rapidly evolving tech landscape. Gain valuable strategies to protect your data assets and stay ahead of the curve. ⌚ It's almost too late! Register today! https://lnkd.in/e8-aw9tQ ✅Learn why data privacy is essential for business survival ✅Gain insights into securing your data in the AI era ✅ Understand the challenges and solutions to keep your information safe 📅 Date: June 13, 2024 🕧 Time: Noon Eastern ⏳Duration: 50 mins (including Q&A) Register now and secure your spot before it's too late! https://lnkd.in/e8-aw9tQ  #AI #DataPrivacy #TechLeadership #BusinessInnovation #SecureAI #LastChance #RegisterNow

🚀 Unlocking the Full Potential of LLMs: Why Data Preparation is Your Secret Weapon If you’ve ever worked with Large Language Models (LLMs), you know one thing is clear: the magic begins with the data. Having dived deep into this topic, here are some essential steps that have stuck with me: 1️⃣ Gather with Purpose: The right dataset isn’t just big—it’s diverse and representative. Think beyond quantity to capture the full spectrum of use cases. 2️⃣ Clean Like a Pro: Garbage in, garbage out. Scrubbing inconsistencies, removing duplicates, and fixing errors isn’t glamorous, but it’s the foundation of excellence. 3️⃣ Label with Precision: Accurate annotations make all the difference. The better your labeling, the smarter your model becomes. 4️⃣ Protect Privacy: Trust matters. Prioritize data protection and ensure compliance with privacy regulations—your model (and your users) will thank you. 5️⃣ Augment Smartly: Sometimes, more data isn’t an option. Creative data augmentation can give your model the robustness it needs to handle edge cases. 📊 Whether you’re building enterprise solutions or personal projects, data preparation is the unsung hero that determines your LLM’s success. 💡 I’d love to hear your approach—what’s your biggest challenge when preparing data for AI? Let’s share and grow together! 🙌 #DataPreparation #LLM #AI #MachineLearning #TechTalk

If your a data professional in Financial Services the importance of having a tailored data and AI governance policy cannot be overstated. It’s essential for ensuring compliance, mitigating risks, and building trust. I’m curious, has your organization implemented one yet? If not, what’s holding you back from at least drafting one? The following chart shows an example of the components of data quality that would be incorporated into a policy, procedure and standard for my organizations data governance policy. Repost ♻️ if you found this useful Follow me Hit the 🔔 Patrick Jacolenne & DATALOGIQ 360 Continue the conversation in the comments 👇 #cdo #datagovernance #datastrategy #ai #bigdata #aigovernance #aigovernance

Are Data Quality and Data Governance still relevant in the age of AI? Welcome Dr Imad Syed, Co-CEO of PiLog Group, our Fire Elite Partner at the Data Management Marathon 7.0 on June 12-13. Dr Imad Syed will delve into this topic with an industry expert, addressing this essential topic pragmatically and with real business use cases. Additionally, Dr.Imad will hold a Fireside chat on the principles of ethical AI, laying out the foundations for adopting AI without compromising on safety, privacy and ethics. We can’t wait to learn more and unlock the potential of AI through Data, adopting a human-centered approach. Join the Data Management Marathon here: https://lnkd.in/dAkRHneN #DataManagementMarathon #MDM #DataQuality #DataGovernance #Innovation

Discover how researchers are shaping a safer AI-powered future. https://airisk.mit.edu/ What strategies do you think are essential for creating a safer AI-powered world?

🔍 Is inconsistent LLM performance holding back your AI initiatives? Synthetic data + evaluation intelligence is the winning combination you haven't tried yet. Join our Head of Product Quique Lores and industry leaders Gretel for a live technical deep-dive on transforming your LLM accuracy while maintaining ironclad data privacy. 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗟𝗲𝗮𝗿𝗻: • How synthetic data resolves the data scarcity paradox • Battle-tested evaluation workflows that accelerate iteration • Real-world examples of companies boosting LLM performance • Practical implementation strategies you can apply immediately 📅 January 15, 2025 ⏰ 2:00 PM ET / 11:00 AM PT 🎯 Don't let data limitations and evaluation uncertainty slow your AI deployment. Join us to learn how leading organizations are solving these challenges at scale. Save your spot at the link in the comments 👇 #ArtificialIntelligence #LLMs #DataScience #AIEngineering #ModelEvaluation

The integration of Artificial Intelligence into government operations presents a massive opportunity - if done correctly. Here are my 3 key takeaways from the recent Artificial Intelligence in Government report: 𝟭. 𝗚𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 = 𝗧𝗵𝗲 𝗣𝗲𝗿𝗳𝗲𝗰𝘁 𝗙𝗶𝘁 (𝗪𝗶𝘁𝗵 𝗦𝗼𝗺𝗲 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀...) Government operations are a prime example of where data-heavy, repetitive tasks are ripe for automation. But these processes impact real people—sometimes the most vulnerable—where even minor mistakes can cause meaningful harm. 𝟮. 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗥𝗶𝘀𝗸𝘀 𝗶𝗻 𝗚𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁 𝗡𝗲𝗲𝗱 𝗠𝗲𝘁𝗶𝗰𝘂𝗹𝗼𝘂𝘀 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 The report summarises the risks of deploying black box AI well. "These risks encompass Potential biases in AI algorithms, threats to privacy and data security, challenges in accountability and transparency, and the possibility of exasperating existing inequalities" Governments MUST meticulously manage these risks, to have the organisational confidence that they can avoid causing harm and quickly identify and accurately resolve anything that goes wrong. 𝟯. 𝗧𝗵𝗲 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗳𝗼𝗿 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝘁𝗼 𝗜𝗺𝗽𝗿𝗼𝘃𝗲 𝗚𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗜𝘀 𝗕𝗼𝘂𝗻𝗱𝗹𝗲𝘀𝘀 I’m excited about empowering governments to leverage new Artificial Intelligence tools that provide even greater control than current human or software-driven processes. Better systems will deliver all the benefits of automation—better service and lower costs—and provide more effective oversight and control than what’s in place today. With the right focus and tools, we can balance innovation for government with responsibility to the citizens that government serves, making meaningful change at scale. #AIAccountability #ResponsibleAI #AIGovernance