SCOTT Olúwafẹ́mi TAYLOR’s Post

And just like that Big Data LDN 2024 is over. Another great event organised by Mike Ferguson and team, it was #buzzing. Apart from meeting & connecting with fellow practitioners all across the globe, it was a good learning experience from so many companies working across all aspects of data & AI. Here are my few takeaways: - AI (that should not be a surprise): It’s everywhere, primarily focused on all things GenAI and it is more & more becoming a feature of every product. - Insightful presentation from Sam Khalil, PhD and how Novo Nordisk is making use of Agentic AI - great stuff as always. - Great examples on developer experience for data engineers in bro by data products to life by Paul Rankin - Great debates on data engineering with thought leaders like Joe Reis 🤓 Chad Sanderson  - Had a chance to chime in on data observability and its importance on remaining our approach towards data quality with Callum O'Connor and Salma Bakouk - Had a wonderful discussion on future of data catalogs with Lazhar Sellami from DataGalaxy - looking forward to our continued partnership  - Wonderful to see how DataOps practices are applied on a non-traditional data use case in record time at Snowflake with Guy Adams & Andrew Helgeson - Mike Palmer from Sigma Computing shared how they are reimagining the much needed shift in BI and tackling the "cockroach of BI industry" - Excel or spreadsheets in general - Finally met Paolo Platter in person and had a mind blowing demo on Witboost - they are doing some cool stuff  - Always a pleasure to see refreshing take on data & AI portfolio management and the missing first step being finally addressed by solutions like YOOI with Nicolas Averseng With more than 270 sessions it’s impossible to attend every session & I still haven’t figured out cloning yet :) It was great to meet so many people... Chris Tabb Danilo Sato Sanjeev Mohan Darren Murray Scott Gamester Ravit Jain Jai P. Sonny Rivera Eevamaija Virtanen Ryan Dolley Steve Huber Justin Mullen Alex Chung Addie McNamara Keith Belanger Cindi Howson (our paths couldn't cross this time...) Hugo Lu John F. Marchese and many more... It’s time to take all these learnings and put them in practice - doubling down on a few and adjusting a few. Until next time... #bigdatalondon #data #ai #dataislife

🚀 What an exciting week it was at Big Data LDN! From insightful conversations to sharing key strategies on stage, our team had a blast connecting with attendees and showcasing how our AI-native master data management can revolutionize businesses. Missed the action? No worries! We've recapped our top 5 takeaways in our latest blog 👉 https://hubs.ly/Q02QXSGH0 #BigDataLDN #DataManagement #MDM #DataAnalytics

Last week, I was lucky enough to attend two insightful mini-conferences. The first event was a small get together at Microsoft for the Data Governance Executive Forum. A couple of big takeaways from there: 🔥 𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗱𝗿𝗶𝘃𝗲𝘀 𝘃𝗮𝗹𝘂𝗲 •   Data governance is more important than ever, and we should focus on value add versus risk and control. •   "Customer Zero" a concept not just related to DG, but a concept where you practice what you preach, drink your own champagne, et cetera, you should be the first (sorry, zeroth) customer of your own data solutions and principles -- e.g. make your own data governance metrics / data your first data product. 📚 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝗮𝗻𝗱 𝗖𝗮𝘁𝗮𝗹𝗼𝗴𝘀 •   Data Products are not a new paradigm, but they are coming to life, and are starting to make an impact on business -- the exact form is still very fluid, but it's congealing around some key concepts. •   Data catalogs are growing as a topic, and as a potential driver for unlocking value pockets in the enterprise, at the same time also data catalogs as a concept themselves are changing, super interesting space to be in with a ton of untapped potential. 🤖 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗔𝗜 •   Good Data Quality is a pre-requisite for meaningful (Gen)AI in the enterprise -- a topic which is very alive in the data governance community, and I think it will break out of our small group very soon. •   Bad data quality / management / governance will lead to a very expensive mess if you throw AI into that mix. Big thanks to Microsoft's Amandine De Veyt for the invite, but also to BCG's Sander van Loosbroek, Nutreco's Patrick van Kalken, and Microsoft's Delphine Clement for showing their Data Governance visions.

Read this interview by VKTR.com with Alberto Pan, EVP and CTO at Denodo, where we discussed how #generativeAI will impact the data space. While #GenAI has primarily focused on unstructured #data, which makes up 80% of all data, the real value in corporate settings lies in accessing #databases and semi-structured data. Check it out! https://buff.ly/3WTZExc

Read this interview by VKTR.com with Alberto Pan, EVP and CTO at #Denodo, where we discussed how #generativeAI will impact the data space. While #GenAI has primarily focused on unstructured #data, which makes up 80% of all data, the real value in corporate settings lies in accessing #databases and semi-structured data. Check it out!

A data culture is an environment where data is consistently used to inform decisions, drive strategies and measure success. It ensures that decisions are based on empirical evidence rather than intuition or guesswork. taxodiary.com/?p=53119 #DataCulture #DataGovernance

What is the role of data in your business?? . . . . I was lucky enough to attend and speak at the Snowflake Word Tour conference a couple of weeks ago. It was so epic to be surrounded by so many people passionate about data, insight and of course the ongoing topic of the year Gen AI and how it is enabling completely new ways of working and thinking with data (and pretty much everything). Sharesies has a very strong data culture - my personal background includes a couple of years as a Portfolio Insight Analyst before moving into product management which (in my view) is also a Data role. But i've never enjoyed some interpretations of what it means to be a data led business. I took the time in my speaking slot to speak about that niggle, as it is particularly relevant when you bring gen AI into the mix. Data tells where you have been, but it is purpose and vision that drive and lead where you are going - when you align both, you don't just react to the past - you get to the shape the future. A common view of the data story would say there was no market for a product like Sharesies when we got started and that was most of the feedback we got from early funding conversations, and certainly how the industry viewed it. The investors who got on board were led and inspired by the vision, and with vision as the front wheel could see a different story that the data was telling. In this new World of Gen AI - that purpose and vision story remains a key human input and value creator, and our tooling to bring these to life are just getting better and better. So at Sharesies our strategy is always vision driven, data supported. We are creating the World we want. Everyone at Sharesies is expected to use data in their work - but a special call out to our data and analytics team, the enablers of data in our org and congrats again on another trophy from the Snowflake Data Drivers awards. Naomi Nic Rajneel Trang Jordan Ash you're all rockstars! And Adon Tony James Kaushik and the Snowflake team for the ongoing partnership.

This week, I had the pleasure of attending the Snowflake World Tour event. The conference was outstanding, with thousands of data professionals attended by. The main theme of the event was the latest advancements in AI. In recent years, the tech industry has been shifting the focus of data engineering from quantitative to qualitative data. Numerous partners showcased their AI-driven data processing use cases. Meanwhile, the “Advanced Analytics” breakout session was packed in 15 minutes before it even began, leaving crowds of data specialists unable to find a seat. I found presentation from Matillion quite funny, they demonstrated an “apology pipeline”, that processes posts from hotel’s page, translates them to English, performs sentiment analysis and then replies with AI-generated apologies based on customer’s complaint. Several sessions focused on “Data Mesh”, and it is understandable. The challenge of data centralisation often becomes a major roadblock for large organisations — not always due to costs, but because of management and organisational complexities. I've seen cases where recently acquired organisations just halted data initiatives because of “fundamental disagreement” at management level. Sure, allowing data to remain decentralised while giving owners more autonomy, alongside enforcing common standards is definitely a step in the right direction for addressing this issue. Personal thanks to Sabrina Valdosh for hearty conversation.

Collibra's CEO Felix Van de Maele spoke to InformationWeek's Lisa Morgan, CeM, J.D. about the common data quality issues that continue to be a challenge for companies. #dataquality #datagovernance #TSEclientwork Collibra CEO Felix Van de Maele told InformationWeek that 'the traditional issues around data quality like completeness, accuracy, consistency, validity, uniqueness and integrity are still kind of issues we see today.' Read the full article below👇 : https://lnkd.in/d_MG8rps

🔊 🎉 This #ShoutoutFriday, we are sending a 🔥MAJOR 𝗧𝗛𝗔𝗡𝗞 𝗬𝗢𝗨🔥 to everyone who was a guest in our Decoding Data Leadership (DDL) series so far! 🚀 Every month we'll be bringing you stories from the field of data teams driving business value with the power of metadata. Thanks for 💪 engaging our online community!! ⭐Ep 01 - To Catalog or NOT to Catalog? 🎤 Guest - Benn Stancil: Sees data catalogs as a bit of a money-hungry black hole. 🎤 Guest - Taylor Brownlow: On the "let's just drop data catalogs" bandwagon. ⭐Ep 02 - Decoding AI in 2024 and the role of metadata 🎤 Special Guest - Hema Raghavan: brought a wealth of experience from search and information retrieval, with notable roles at Yahoo, IBM, and LinkedIn and currently leading a cutting-edge AI startup. ⭐Ep 03 - The Data-Driven Leader: Fast-Tracking Business Impact from... 🎤 Special Guest - Kiran Padavla - discussed key strategies to drive business impact and modernize data governance. ⭐Ep 04 - Data Mesh - Lessons from the Field 🎤 Guest - Darren Haken, Engineering Director, at AutoTrader UK, discussed the highs and lows of decentralizing data architecture, straight from the trenches. ⭐Ep 05 - AI and Data - The LinkedIn Story 🎤 Guest - Kapil Surlaker, VP of Engineering at LinkedIn, shared insights from a decade of being at the forefront of LinkedIn’s engineering prowess in this area. 📝 Subscribe and catch all the episodes now at the link in the comments below!👇 . . . . #ThankYou #ShoutoutFriday #DataQuality #Metadata #DataHub #DDL