Expereo’s Post

Research from Gartner indicates that a significant 59% of CEOs view AI as the most impactful technology for their industries in the next three years. While AI’s potential is clear, the real leverage comes from ensuring our data foundations are not just robust but future-proof. 1️⃣ Future-Proof Data: The backbone of successful AI implementation is high-quality, cost-efficient, and scalable data infrastructure. This ensures that as technologies evolve, our data systems can adapt and continue to drive accurate AI outputs. 2️⃣ Strategic AI Use Cases: It’s crucial to identify and deploy AI where it can have the most significant impact, ensuring that these technologies are applied thoughtfully and effectively within our organizations. 3️⃣ Innovative Culture: Creating an environment that supports continuous innovation is key. A culture that adapts to technological advancements will maximize the investments in AI, ensuring long-term benefits. The future of AI is not just about adopting the technology; it’s about creating an ecosystem that supports sustainable and scalable growth through solid, future-proof data foundations. EDB CDO Magazine #AI #DataStrategy #FutureProof #DigitalTransformation #Leadership #BigData

Great insight for the future and the importance of learning and embracing AI.

With the emergence of #GenerativeAI models, enterprises are increasingly investing in this technology. Organizations recognize generative AI’s transformative potential across various industries, particularly in #CustomerExperience Management (#CXM). Generative AI’s ability to generate content, identify data trends, and provide actionable insights has the potential to revolutionize CXM operations. However, to fully leverage generative AI in CXM, organizations must overcome several challenges. These include ensuring adequate technology infrastructure and training data availability, addressing concerns around data privacy, talent shortages, and navigating regulatory complexities. To assess enterprise readiness for implementing generative AI in CXM, Everest Group surveyed CXM, digital transformation, and innovation leaders from 200 companies worldwide. This report combines survey results with Everest Group’s research and expertise to provide data-driven insights into generative AI application, adoption drivers, implementation strategies, and overall organizational readiness. Read on: https://okt.to/XxPH72 Get in touch: Shirley Hung Sharang Sharma Divya Baweja Mohit Kumar

With the emergence of #GenerativeAI models, enterprises are increasingly investing in this technology. Organizations recognize generative AI’s transformative potential across various industries, particularly in #CustomerExperience Management (#CXM). Generative AI’s ability to generate content, identify data trends, and provide actionable insights has the potential to revolutionize CXM operations. However, to fully leverage generative AI in CXM, organizations must overcome several challenges. These include ensuring adequate technology infrastructure and training data availability, addressing concerns around data privacy, talent shortages, and navigating regulatory complexities. To assess enterprise readiness for implementing generative AI in CXM, Everest Group surveyed CXM, digital transformation, and innovation leaders from 200 companies worldwide. This report combines survey results with Everest Group’s research and expertise to provide data-driven insights into generative AI application, adoption drivers, implementation strategies, and overall organizational readiness. Read on: https://okt.to/eyFPrS Get in touch: Sharang Sharma Divya Baweja Mohit Kumar

Worried about trusting AI and new tech? You're not alone. But what if the key to unlocking its potential lies with the people behind it? In this blog post, Clyde van Wyk, co-founder and director at PaySpace, explores the human factor in building trust with technology. Read the blog post https://zurl.co/6Kb2

Technology is constantly evolving, with AI as the latest 'game changer', but are we leveraging it effectively? With a staggering 70% failure rate in our transformation efforts, it's clear we are not and it must be time to rethink our approach. For 30 years, I've witnessed organisations invest millions in technology initiatives only to crash and burn. As a seasoned consultant, I've learned a crucial lesson: it's not just about the technology itself, but what you do with it that truly matters. That's not just empirical experience, it's backed up by the academic research - so why aren't most organisations doing that?? In a world driven by technology, the key to success lies in how we harness it for meaningful change. While the allure of cutting-edge tools is strong, we must not overlook the importance of leveraging human expertise. Instead of fixating on technical skills, focus on those who can align technology with your business objectives and drive meaningful transformation. My advice for navigating the realm of Artificial Intelligence? Look beyond the 'cutting edge' technical excellence. Don't pay a premium for the latest AI skills; instead invest in individuals who can demystify AI's potential for your organisation and spearhead transformative changes across the board. Let's shift our focus from chasing technology trends to unlocking its true value. What do you think? If you'd like to know more reach out to me, Stuart Fotheringham, Tom Swanson at Intelligent Enterprise Partners LLP #ArtificialIntelligence #DigitalTransformation #TechnologyInnovation

Amidst the rapid evolution of generative Al technologies, businesses are increasingly turning to ChatGPT and similar advanced models to revolutionize their CXM operations. We conducted a detailed survey with leaders from top enterprises across various industries globally to understand industry readiness, adoption drivers, implementation methodologies, and disruptive potential of gen Al through this report. Read this thought leadership viewpoint to gain valuable data-driven insights for CXM leaders seeking to leverage gen Al for innovation and personalized customer experiences. #cxm #genAI #BPS #research #strategy

📈 According to Gartner, AI will be a top five investment priority for more than 30% of CIOs by 2025. This prioritisation is essential for driving digital transformation and staying competitive. We believe CIOs must focus on building a scalable AI infrastructure that supports innovation and growth. This involves investing in the right technologies, talent, and partnerships. What AI investments are you prioritising in your organisation? Let’s discuss your strategies and goals. #AIPriority #DigitalTransformation #BusinessStrategy #TechLeadership #CMO

With the emergence of #GenerativeAI models, enterprises are increasingly investing in this technology. Organizations recognize generative AI’s transformative potential across various industries, particularly in #CustomerExperience Management (#CXM). Generative AI’s ability to generate content, identify data trends, and provide actionable insights has the potential to revolutionize CXM operations. However, to fully leverage generative AI in CXM, organizations must overcome several challenges. These include ensuring adequate technology infrastructure and training data availability, addressing concerns around data privacy, talent shortages, and navigating regulatory complexities. To assess enterprise readiness for implementing generative AI in CXM, Everest Group surveyed CXM, digital transformation, and innovation leaders from 200 companies worldwide. This report combines survey results with Everest Group’s research and expertise to provide data-driven insights into generative AI application, adoption drivers, implementation strategies, and overall organizational readiness. Read on: https://okt.to/RP5kQm Get in touch: Shirley Hung Sharang Sharma Divya Baweja Mohit Kumar

With the emergence of #GenerativeAI models, enterprises are increasingly investing in this technology. Organizations recognize generative AI’s transformative potential across various industries, particularly in #CustomerExperience Management (#CXM). Generative AI’s ability to generate content, identify data trends, and provide actionable insights has the potential to revolutionize CXM operations. However, to fully leverage generative AI in CXM, organizations must overcome several challenges. These include ensuring adequate technology infrastructure and training data availability, addressing concerns around data privacy, talent shortages, and navigating regulatory complexities. To assess enterprise readiness for implementing generative AI in CXM, Everest Group surveyed CXM, digital transformation, and innovation leaders from 200 companies worldwide. This report combines survey results with Everest Group’s research and expertise to provide data-driven insights into generative AI application, adoption drivers, implementation strategies, and overall organizational readiness. Read on: https://okt.to/B8uion Get in touch: Shirley Hung Sharang Sharma Divya Baweja Mohit Kumar