💙 Chief Marketing Officer at Zappi | 🌏 Harvard Business Review Contributor | 📘 Get My Book: Take Your Company Global | 👉 Subscribe to My Newsletter: Making Global Work
How can brands stay competitive in an AI world? Hint: it's all about the data. Love this latest article from Zappi's Steve Phillips in WARC. He delves into the true impact of Generative AI for brands, and how your ability to leverage AI is, ultimately, dependent on the state of your data. 👉 Check it out: https://lnkd.in/ePu69qTX
“In analytics and AI, moving beyond the science to the business application and making an impact is what sets the very best providers apart. So for example, we have deployed generative AI now in knowledge management, in agent assist, and in conversational insights, just to name a few.” – Marcy Riordan, Head of Data Analytics and Insights. Take our AI Readiness Assessment here: https://ttecd.co/3LPEjAi #CXoptimized
CEO at Avaus, The Nordic Customer Data & AI Consultancy working with Marketing, Sales and Service leaders
Who should own the AI (and data) agenda and why is the answer not self evident? Sometimes it feels like organizations are trapped in a cat and mouse game where business and IT/data stakeholders keep pointing at each other to take the lead 🐱🐭 --- Want to access the full content from our success event AI:Beyond The Hype? Check out: https://lnkd.in/d2biBw8t
11x more AI models successfully made it into production in the last year. Data and AI is hard but many of our customers are realising the value from their use cases having developed a robust approach to MLOps and actually getting them into production! Based on recent customer engagements had a gut feeling this was the case but it’s great to see this analysis of our customer base and the stats behind it.
Our data shows that organizations have become 3x more efficient at putting ML models into production in just 14 months. They're spending fewer resources on experimental models that never provide real-world value. We break down these trends and more in the State of Data + AI, which examines usage data from our 10,000+ global customers. https://dbricks.co/3KB4OIK
Interesting post to review for any Data Professionals that are responsible for building and putting ML models into production! Our data shows that organizations have become 3x more efficient at putting ML models into production in just 14 months. They're spending fewer resources on experimental models that never provide real-world value. We break down these trends and more in the State of Data + AI, which examines usage data from our 10,000+ global customers. https://dbricks.co/3KB4OIK Activate to view larger image,
Our data shows that organizations have become 3x more efficient at putting ML models into production in just 14 months. They're spending fewer resources on experimental models that never provide real-world value. We break down these trends and more in the State of Data + AI, which examines usage data from our 10,000+ global customers. https://dbricks.co/3KB4OIK
This is a great chart which shows just how efficient it is to get your data science team set up on databricks. If you want to see more DS projects make it to production, the right platform is the key! At Tempered AI, we have experienced consultants that can help your team accelerate adopting MLOps on Databricks.
Our data shows that organizations have become 3x more efficient at putting ML models into production in just 14 months. They're spending fewer resources on experimental models that never provide real-world value. We break down these trends and more in the State of Data + AI, which examines usage data from our 10,000+ global customers. https://dbricks.co/3KB4OIK
Why your service data is worth 80 IQ points: For savvy organizations, contextualized service data is fueling business growth. Sumair Dutta of ServiceMax explores how generative AI plays a part. http://dlvr.it/T24WL3
There's been a ton of buzz around generative AI and some of its potential uses. But how can you leverage it to generate enterprise-grade synthetic data? And what are some of the challenges to look out for? Learn about it here 👉 https://lnkd.in/d5ZggvsY #GenerativeAI #SyntheticData #K2view
What are the top data and analytics trends (that aren't generative AI?) We took a look at the data and broke it down in our latest article. Read on: https://ow.ly/22eC50Q5sxK #AnalyticsTrends #DataTrends
"If you thought data was valuable now, just wait until every company has its own data-hungry AI to feed." 🤖 Read below to hear more from LOTAME's Eliza Nevers and her predictions for AI in 2024. 🔮 ExchangeWire https://bit.ly/3v5sNeK
For the Supercharge Marketing Season 2 finale, we wanted to throw it back to some of our most insightful discussions surrounding AI from industry experts and thought leaders. Last year was all about leveraging AI, what do you think 2024 will bring? Go listen 🎧 💜 https://hubs.la/Q02gbbPX0
Exactly!!