El Alaoui Rachid

CIO vision for 2025 : 1. 72% say that data is the biggest challenge for AI and 68% say unifying their data platform for analytics and AI is crucial 2. 94% say they are already using AI in LOBs, and more than half expect AI to be widespread by 2025 3. 72% believe multicloud is critical, and many support open standards to preserve strategic flexibility

١٧

١ تعليق واحد

Exhibitor sessions Data & AI: Powering Digital Transformation.. Strong combinaison Question: what would be AI without data ?? AI isnt finally a simple advanced data learning machine.... Interesting point of view from exhibitor..

١

Exhibitor sessions Data & AI: Powering Digital Transformation.. Strong combinaison Question: what would be AI without data ?? AI isnt finally a simple advanced data learning machine.... Interesting point of view from exhibitor..

١

AI is not good software. It is pretty good people. Paradoxical ? We want our software to yield the same outcomes every time. So, we ensure that software systems are reasonably reliable and predictable. Large Language Models are neither of those things, and will absolutely do different things every time. They have a tendency to forget their own abilities, to solve the same problem in different ways, and to hallucinate incorrect answers. There are ways of making results more predictable, by turning down the level of randomness and picking a known “seed” to start, but then you get answers so boring that they are almost useless. Reliability and repeatability will improve, but it is currently very low, which can result in some interesting interactions. We also want to know what our software does, and how it does it, and why it does it. We don’t know any of these things about LLMs. They are also literally inexplicable. When you ask it why it did something, it is making up an answer, not truly reflecting on its own “thoughts.” There is no good way of understanding their decision-making, though, again, researchers are working on it. Finally, we should know how to operate a piece of software. Software projects are often highly documented, and come with training programs and tutorials to explain how people should use it. But there is no operating manual for LLMs, you can’t go to the world’s top consultancies and ask them how to best use LLMs in your organization - no on has any rulebook, we are all learning by experimenting. So the software analogy is a bad one. You should actually treat AI as people since that is, pragmatically, the most effective way to use the AIs available to us today. What tasks are AI best at? Intensely human ones. They do a good job with writing, with analysis, with coding, and with chatting. They make impressive marketers and consultants. They can improve productivity on writing tasks by over 30% and programming tasks by over 50%, by acting as partners to which we outsource the worst work. But they are bad a typical machine tasks like repeating a process consistently and doing math without a calculator . So give it “human” work and it may be able to succeed, give it machine work and you will be frustrated. And, of course, the AI still lies, makes mistakes, and “hallucinates” answers. But, again, so do humans. I would never expect to send out an intern’s work without checking it over, or at least without having worked with the other person enough to understand that their work did not need checking. In the same way, an AI may not be error free, but can save you lots of work by providing a first pass at an annoying task. We need to decide what tasks we are willing to delegate with oversight, what we want to automate completely, and what tasks we should preserve for humans alone. #Genai #LLMs https://lnkd.in/gzEtUqvr

١١

١ تعليق واحد

AI and energy consumption Training a large language model, #LLM, like GPT-3, is estimated to use near 1 300 MWh of electricity, about as much power as consumed by a laptop used for 8 hours a day for 8900 years. But what about inference ? Table below shows the energy consumption per 1000 inference for common IA tasks. To put that in context, generating just one image from a text to image model with 3B parameters consumes as much as 25% of an iPhone 15 PRO battery. The google goal of reaching net zero carbon emissions by 2030 won’t be easy !

٤

١ تعليق واحد

How do I know if I Have been Hacked ? Here are some simple indicators of a potential compromise Explained by Occupy The Web(OTW) on David Bombal YouTube Channel. If you notice any of these listed below signs, please take action or consult a cybersecurity professional or your "Cyber Doctor"Yekolo Temari   1:If your Computer is Much Slower 2:Strange Behavior of Your System 3:Unusual activity in your email or messaging apps 4:You receive alerts That someone at another computers is trying to access your accounts 5:You Can No longer access some of your online Accounts 6:Unexpected Pop-Ups or Redirects 7:Your email appears on the Dark web data dumps{Haveibeenpwned,dehashed, and others] 8:Your friends or Colleagues are receiving emails from you that you did not sent 9 Unknown charges to your bank account or credit cards 10:Your Anti-virus/malware is disable for more you can see this video https://lnkd.in/e76_RvxC

٨

🚀 Embracing Digital Transformation: The Future is Now 🚀 Digital transformation is not just a trend—it's a necessity. Organizations that leverage technology to innovate and streamline their operations are not only staying competitive but are also setting new industry standards. 🌐 Why Digital Transformation Matters: Enhanced Efficiency: Automate routine tasks and free up valuable time for strategic initiatives. Data-Driven Decisions: Utilize data analytics to make informed choices and drive growth. Improved Customer Experience: Deliver personalized services and foster deeper customer relationships. Agility and Adaptability: Respond quickly to market changes and evolving customer needs. As we continue to navigate an ever-evolving digital landscape, it’s crucial for businesses to invest in the right technologies and cultivate a culture of innovation. Let's embrace the future and lead the way in transforming our industries. #DigitalTransformation #Innovation #BusinessGrowth #TechTrends

٢

🚀 Preparing Today for Tomorrow's Success 🚀 💡 I recently came across Peter Drucker's thought-provoking question: “The relevant question is not simply what shall we do tomorrow, but rather what shall we do today in order to get ready for tomorrow?” This perspective highlights a crucial mindset shift that can shape our careers, teams, and organizations. ⏳️ In our fast-paced world, it’s easy to focus on daily tasks, but Drucker reminds us that long-term success is built on proactive preparation. Rather than waiting for tomorrow’s challenges, we should identify and act on today’s opportunities for growth, skill-building, and innovation. 💁‍♀️ As we look forward, let’s make today count by taking deliberate steps toward a future we’re ready to lead. #Leadership #ContinuousImprovement #FutureReady #PeterDrucker #GrowthMindset

١٢

Network and Application Security are the twin pillars of modern cybersecurity. While network security focuses on protecting data's integrity, confidentiality, and availability as it travels across or within networks, application security ensures that software and applications are resilient against threats. In today's interconnected world, vulnerabilities at either level can be devastating. Understanding the synergy between these two domains is crucial for building robust defenses against the ever-evolving landscape of cyber threats. Special thanks to Gerald Oghenekaro and Ekene Ejike for the insights shared with the community. #networksecurity #applicationsecurity #cyberresilience CYBERTECH ASSURANCE AND ADVISORY GROUP

٣٠

٧ تعليق

Navigating the Complexities of Credit Risk Management in Banking 🌟 In today's dynamic financial landscape, effective Credit Risk Management (CRM) is more crucial than ever. Banks and financial institutions face a myriad of challenges, from fluctuating economic conditions to evolving regulatory frameworks. Implementing robust CRM strategies not only mitigates potential losses but also enhances overall financial stability and growth. Key considerations for a successful CRM approach include: Advanced Analytics: Leveraging data-driven insights to predict and manage credit risk more effectively. Regulatory Compliance: Staying ahead of regulatory requirements to avoid penalties and ensure alignment with best practices. Proactive Risk Assessment: Continuously monitoring credit portfolios and adjusting strategies to address emerging risks. Technological Integration: Utilizing cutting-edge technologies, such as AI and machine learning, to streamline risk assessment processes. By focusing on these areas, banks can better safeguard their assets, optimize decision-making, and ultimately drive sustainable growth. 🔍 How is your organization tackling credit risk management? Share your insights and strategies below! #CreditRisk #Banking #RiskManagement #FinancialStability #DataAnalytics #RegulatoryCompliance #InnovationInBanking

٤

Simplicity is the ultimate sophistication.

٧٨

٢ تعليق

Hello! Want to start your Gen AI/ LLM journey ? Wanna go from 0 to 1 on LLM's by gaining both theoretical and practical knowledge ? I've found this Udemy course that I think you'll enjoy. Check it out! LLM Engineering: Master AI & Large Language Models (LLMs) Become an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI and key theoretical concepts. ★★★★★ 4.72 (281 ratings)

١٤

١ تعليق واحد

Valuable time management tips!

٥

You need to invest 54 minutes of your time listening to this masterclass by Seth Godin and Guy Kawasaki. I'm referring to episode #257, "Seth Godin: Transforming Ideas into Impactful Strategies", of "Guy Kawasaki's Remarkable People" #podcast. Among the invaluable exchanges, I invite you to pay particular attention to: 1. Seth Godin sharing his secret sauce for a "Strategy to create #Strategy" 2. How Seth Godin introduces #AI into his #book publication workflow. Like Sebastien Wiertz would say: steal them like an artist! (And, I back Seth's experience sharing, #Claude AI is better at providing feedback) Who is Guy Kawasaki? Just a guy who made Apple and Canva the now-successful platform ecosystems they are. Who is Seth Godin? Just a guy who is simply recognized as America's Greatest Marketer. I want to personally thank Guy Kawasaki for this outstandingly remarkable episode. A master of the "Art of Questioning". 🫡

١٢

٤ تعليق

Empowering Students for the Future! it is game-changing partnership between ITLS ( Information Technology Leading Services)-LB and Université La Sagesse - ULS —a collaboration designed to give students the skills they need to succeed in today’s world and beyond. Together, We Serve, We Impact By joining forces, we’re offering students the chance to earn international #certifications that are recognized globally and open doors to amazing career opportunities. #AI #projectmanagement #PMI #META #MicrosoftOffice #Microsoft This isn’t just about getting a certification—it’s about getting market-ready and prepared to take on the world with confidence Learn. Practice. Certify. Compete We can’t wait to see how students use these powerful tools to create their own success stories! #FutureReadySkills #ITLS #sagesse #AI #PMI #careergoals Microsoft Certiport - A Pearson VUE Business #SkillsForTheFuture #innovateyourjourney #MarketReady

٢٠

Technology serves as both a cost center and an enabler for business growth and innovation.

٢

How many of you have worked with an observability framework before ? As engineers, we would be working with APIs almost every day of our working lives, and we would know that observability is always a headache : suppose our system calls an API X, and X calls 3 other downstream systems , and so on. In such a scenario, tracing an error or latency to a specific system is always a problem , unless you have an observability framework like OpenTelemetry to help you in your journey. For the uninitiated, OpenTelemetry is an open-source observability framework designed to provide a consistent way to collect and export telemetry data (such as metrics, logs, and traces) from software applications. What are the key components for Open Telemetry ?   --- API : A set of interfaces that allows developers to instrument their code to collect telemetry data.   --- SDK: The implementation of the API, providing functionality for data collection, processing, and export.   --- Auto-Instrumentation: Tools and libraries that automatically collect telemetry data without requiring significant changes to the application code.   --- Collectors: Agents or services that receive telemetry data from applications, process it, and export it to various backends (e.g., monitoring and logging systems).   --- Exporters: Components that send collected telemetry data to different observability platforms, such as Jaeger or Prometheus What are the benefits of a tool like OpenTelemetry ?   ---It provides a unified set of APIs and libraries for collecting telemetry data, reducing the need for multiple, platform-specific instrumentation tools.   --- It ensures compatibility with various backends, allowing users to choose their preferred observability tools without any vendor lock-in.   --- It can support a wide range of programming languages and frameworks, making it adaptable to diverse tech stacks.   --- And of course, it can facilitate comprehensive monitoring and debugging by integrating metrics, logs, and traces, offering a holistic view of application performance. At ING Nederland, we use a similar architecture for all of our API calls, and the results are amazing ! For every API call, we check whether our upstream system has already created an alphanumeric UUID, and  --- if yes, we pass it onto our downstream APIs as a header field  --- if no, we create a new UUID, and pass it onto our downstream APIs as a header field In case of any issues, we simply look up this UUID (called traceID) using GrafanaUI and isolate the potential problem system and share the traceID with that team ! I have added a screenshot below (stock footage, not from ING system :)), which would explain how easy the entire process becomes with a traceID. How are you dealing with observability in work life ? Are you using another tool, which might be equally or even more efficient ? Let me know ! Hope you learned something new today ! #pega #pegalearning #learning #observability #opentelemetry

١١٨

١٠ تعليق