Jason Edelboim’s Post

Did you hear the exciting news?! iCIMS Talent Cloud AI has been awarded the “Best AI Solution of the Year” in the 2024 AI Breakthrough Awards 🙌🎊 Each year, the AI Breakthrough Awards selects the most innovative organizations and technologies in the artificial intelligence industry. This year *notably* had over 5,000+ submissions and iCIMS was named one of the BEST 🏆 When choosing a trusted, artificial intelligence vendor to enhance your talent acquisition strategy and drive your business forward, it’s important to evaluate based on reliability, responsibility and transparency. We’re committed to delivering AI-powered products that does just that plus more. With iCIMS Talent Cloud AI, we build our technology based on our six core principles: human-led, technically robust, and safe, inclusive and fair, private and secure, transparent and accountable. Msg me for more information about how our award-winning iCIMS Talent Cloud AI embedded in our products can enhance your talent acquisition strategies or request a demo here: https://okt.to/XeV2ut Curious about our product innovation journey and why we were named the best? Learn more here: https://okt.to/5pwq0u

Enterprises are rapidly adopting generative AI, but there are important factors to consider for successful deployment and governance: 1. A multi-model strategy is crucial. Two-thirds of enterprises surveyed report pursuing multiple models for different use cases as no single model can meet all needs across text, images, audio, etc. 2. Hybrid cloud environments will be widely used, with models run where it optimizes performance, cost, security, and regulatory compliance based on data residency. 3. Governance is a top requirement. Enterprises must control for bias, monitor model drift, ensure explainability, and have practices for model and data provenance. 4. Scaling for value is critical - identifying the right use cases can provide major time/cost savings and ROI impact for meaningful innovation. 5. Data quality, access, and security will ultimately decide which enterprises win with generative AI in the long run, despite initial model innovation creating value. As generative AI goes mainstream, enterprises must carefully evaluate their strategies across models, infrastructure, governance, high-value use cases, and data capabilities. Balanced technical and ethical considerations will be key for successful adoption.

AI: From proof of concept to impact Generative AI has revolutionized the business landscape, creating new opportunities for productivity gains and topline growth. Our survey of over 1,400 C-suite executives reveals that 89% rank AI as a top-three tech priority for 2024, with 51% ranking it at the top. But many companies struggle to realize the full benefits of scaling from pilot to at-scale transformations, and 66% of leaders express dissatisfaction with their organization's progress. What key lessons can we learn from the companies leading the AI transformation? Join Carrie Tharp and Matthew Kropp at #googlecloudnext2024 to explore the insights from our survey and analysis. Gina Fratarcangeli Paul Tepfenhart Anil Jain Salim Hasham Djon Kleine Boston Consulting Group (BCG) Google Cloud Sanket Amberkar

GenAI PoCs are springing up like mushrooms... and yet most organisations are dissatisfied with their progress on driving value from GenAI. If this conundrum sounds all too familiar and you'll be at Google Cloud Next, I'd highly recommend joining this session with Matthew Kropp and Carrie Tharp on what holds corporations back from unlocking real impact from GenAI transformations, and what can be learnt from leaders in this space. Sign up link is in the first comment on Shri's post. And more broadly if you'll be at #GoogleCloudNext2024 and fancy catching up - ping me!

92% of Tech executives say AI is their top priority in 2024. Some organizations may find that they already have in-house talent that is poised and ready to adopt AI. However, it is far more common that employees will need to be reskilled to advance AI adoption maturity for the business. The McKinsey Survey also states that approximately 40% of respondents expect that 20% or more of their in-house workforce will be reskilled to aid in their AI journeys. #Tierpoint #genai

Extremely important considerations when looking into leveraging #ai. Way too often it’s thought of as the wonder solution or the cool new thing. To make sure there’s really business value and #ethicalai in your #genai strategy, be sure to consider these pillars.

🚀 Ready to Transform with AI? Here’s What Truly Matters! 🤔 What's the one element you must never overlook when integrating groundbreaking tech like #AI? 💡 It’s the people. Your employees and future users are at the heart of it all. AI is the powerful glue that binds digital ecosystems and real-world processes. But remember, it’s not a shortcut to digital innovation or seamless #ChangeManagement. AI adoption comes with a significant transformation. Yes, companies must digitize their data and migrate to the cloud to integrate AI. But as the Deloitte AI Institute wisely notes, GenAI won't replace jobs – it will transform the tasks and skills needed to accomplish them. And that's just the beginning! Interfaces for AI should be user-friendly and accessible to encourage widespread use. Plus, training programs are crucial for deepening AI understanding and developing new skills, like prompt engineering and problem-solving. Does this vision align with your company’s goals? Kickstart your #AIadoption journey with #Zoi today 👉 https://hubs.ly/Q02CfjKz0 #AIFuture #DigitalTransformation #Innovation

In 2024, digital transformation priorities should extend beyond generative AI, with a focus on addressing operational gaps and developing new digital leaders.    While generative AI remains a crucial aspect, it should be part of a broader transformation strategy. Despite the emphasis on AI, CIOs must also manage technical debt, modernize applications, and control cloud costs.    Key areas include creating generative AI workstreams, closing operational and security gaps, and developing transformation leaders to handle multiple initiatives effectively.    #techinnovation2024 #ai

Wanted: People who understands how generative AI can be applied to the specific business to ensure its ultimate success. Companies aren’t ready to succeed with AI. A new study shows that AI won’t work without a lot more talent in the employment market. Too many organizations are - according to David Linthicum - hiring socalled AI experts who make a good number of poor decisions. By the time companies discover this, it’s too late. We saw something similar happen with initial cloud efforts. However, AI issues will come quicker and be 10 times as harmful to the business. The Pluralsight report outlines the broader implications for organizational success with AI and other digital transformation technologies. Failure to close the AI skills gap could impede companies’ ability to achieve returns on their AI investments and lose the opportunity to capitalize on the competitive advantages offered by AI-driven innovations. It’s up to you to fix the talent supply chain. Work with existing employees to find out who is willing and able to become an AI expert. Figure out what courses and on-the-job training they will need. This does not mean sending people back to college, but providing innovative and dynamic training that is laser-focused on the what, whys, and how of AI and the cloud — especially the how, which is largely missing today. "I don’t want people who can explain generative AI to me. I want someone who understands how it can be applied to the specific business to ensure its ultimate success" - closing words of David Linthicum. https://lnkd.in/dZw7XJup #genAI #businesscase #skillsgap #Pluralsight #talentsupplychain

Organizations are realizing a return on their artificial intelligence investments within 14 months of deployments on average, a recent study by IDC and sponsored by Microsoft found. For every $1 companies invest in AI, they are realizing an average of $3.50 in return, the study found. #generativeai #roi #digitaltransformation https://lnkd.in/eubWrJAt