How To Read Gartner’s Magic Quadrants & 2024 Predictions
Data Mesh vs. Data Meh | 2024 AI Keyword: Adoption | 2024 “Hottest Enterprise Tech” is…
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d Declining. It’s difficult to predict the future so indicating trends is a great way to think about it!</p><figure id="bfbd"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*bX6BGP4nb_Nxdoe1yzo-Hg.png"><figcaption></figcaption></figure><figure id="f983"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*yRZEqQCU_pm4q1TvPqlpDg.png"><figcaption></figcaption></figure><figure id="b156"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*WZeGK0U6EYR6McUJmk-OgQ.png"><figcaption></figcaption></figure><h1 id="8980">Data Mesh or Data Meh?!</h1><p id="3d25">In his analysis, <a href="undefined">Sanjeev Mohan</a> says that “one of the biggest successes to come out of the data mesh movement is data products“. I agree. Simply put, The Data Mesh hasn’t lived up to its expectations. See below what we all thought on December 2022…and see what’s happening now.</p><h2 id="d7b1">December 2022</h2><figure id="ec72"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*Nn2hWcHvp2UG6vsUcnGwYw.png"><figcaption></figcaption></figure><h2 id="071b">December 2023</h2><figure id="8298"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*9mDqDOL0lCQHsYnbfjD5qA.png"><figcaption></figcaption></figure><h1 id="2ad9">2023: The Year of the Semantic Layer?!</h1><p id="7443">Great blog by my friend Jen Grant. I worked on this problem for many years and I’m a big believer of the category. Jen’s blog details the data stack’s 3 waves as coined by former Looker’s CEO Frank Bien: Monoliths, Chaos and Now! :). I’m also delighted to see an analyst (my friend <a href="undefined">Andrew Brust</a>) put a stake in the ground and publish a research piece on this. It’s historically been difficult I think for traditional Analyst Firms to provide guidance in this field. I’m happy Andrew started it this year!</p><p id="791c">I’m reminded that, as our survey indicated it, little has been expected of the Metric Store so we’ll have to keep watching the trend!</p><figure id="ca21"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*6Ip_-TGV5j1sA2G6k_Xebg.png"><figcaption></figcaption></figure><figure id="de53"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*i-xfEhdoPlA9O2gpsz8_Eg.png"><figcaption></figcaption></figure><figure id="55a7"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*jxrOSmTv_S0xwYQb4QHbiQ.png"><figcaption></figcaption></figure><ul><li>Andrew’s research <a href="https://gigaom.com/reprint/gigaom-sonar-report-for-semantic-layers-and-metric-stores-238171-cube/"><b>here</b></a></li><li>Jen’s blog <a href="https://cube.dev/blog/2023-the-year-of-the-semantic-layer"><b>here</b></a></li><li>Data Trend Survey <a href="https://www.linkedin.com/posts/brunoaziza_predictions-data-activity-70050029420
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34444288-cTC-?utm_source=share&utm_medium=member_desktop"><b>here</b></a></li></ul><h1 id="b2e7">Gartner’s predictions, not just for 2024 but for 2033!</h1><p id="8f74">Insightful landing page from Gartner highlights some interesting predictions, namely:</p><ul><li>Through 2026, despite all the advancements in AI, <b>the impact on global jobs will be neutral — there will not be a net decrease or increase.</b></li><li>By 2033, AI solutions will result in more than <b>half a billion net-new human jobs.</b></li><li>By 2030, <b>decisions made by AI agents without human oversight will cause $100 billion in losses</b> from asset damage.</li></ul><figure id="eaf0"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*xX0alv2E4T3wEJD80Nb79g.png"><figcaption></figcaption></figure><p id="2e32">More <a href="https://www.linkedin.com/posts/gartner_top-2023-insights-about-generative-ai-activity-7142489782214942720-ZJPH/"><b>here</b></a><b>.</b></p><p id="7940">Alan Duncan and Sarah James are also running a webcast to dive into <a href="https://www.linkedin.com/posts/gartner_the-gartner-100-da-predictions-through-2028-activity-7143213167060398080-WsII?utm_source=share&utm_medium=member_desktop"><b>Gartner 100 Data & Analytics Predictions Through 2028</b></a>. 3 in particular caught my attention</p><ul><li><b>By 2025, 55% of IT will adopt data ecosystems</b>, consolidating the vendor landscape by 40%, thereby reducing cost while reducing choice.</li><li><b>By 2026, 50% of BI tools will activate users’ metadata</b>, offering insights and data stories with contextualized journeys and actions.</li><li><b>By 2028, investment levels in AI will decline to 10% that of 2023</b>, after disappointing progress in overcoming AI limitations and AI scandals that’ll erode public trust.</li></ul><figure id="206a"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*IOwiYqb82iGsycPD8ZhOOQ.png"><figcaption></figcaption></figure><blockquote id="b01d"><p>If you find these resources useful, follow me on LinkedIN <a href="https://www.linkedin.com/in/brunoaziza/"><b>here</b></a> and YouTube <a href="https://www.youtube.com/channel/UCoOD3p3mUu1LeUw3JLvBCgw"><b>here</b></a>.</p></blockquote><h1 id="812e">EXTRAS</h1><h2 id="afa5">And the “Hottest Enterprise Data Tech of 2024” is…Intelligent Applications!</h2><figure id="6552"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*uZlZjTzsnnZ5uBHgiK6uKg.png"><figcaption></figcaption></figure><h2 id="d89a">….let’s see what 2024 brings!</h2><blockquote id="7b6e"><p>If you find these resources useful, follow me on LinkedIN <a href="https://www.linkedin.com/in/brunoaziza/"><b>here</b></a> and YouTube <a href="https://www.youtube.com/channel/UCoOD3p3mUu1LeUw3JLvBCgw"><b>here</b></a>.</p></blockquote></article></body>
Data Mesh vs. Data Meh | 2024 AI Keyword: Adoption | 2024 “Hottest Enterprise Tech” is…
More on “How To Read Gartner’s Magic Quadrants: 5 things you should know”.
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Rich and deep Analysis of what matters in 2024 and beyond by my friend Sanjeev Mohan and his friend Rajesh Parikh here. Lots in the piece. My TLDR;
Great framework to categorize trends: Rising, Stable and Declining. It’s difficult to predict the future so indicating trends is a great way to think about it!



In his analysis, Sanjeev Mohan says that “one of the biggest successes to come out of the data mesh movement is data products“. I agree. Simply put, The Data Mesh hasn’t lived up to its expectations. See below what we all thought on December 2022…and see what’s happening now.


Great blog by my friend Jen Grant. I worked on this problem for many years and I’m a big believer of the category. Jen’s blog details the data stack’s 3 waves as coined by former Looker’s CEO Frank Bien: Monoliths, Chaos and Now! :). I’m also delighted to see an analyst (my friend Andrew Brust) put a stake in the ground and publish a research piece on this. It’s historically been difficult I think for traditional Analyst Firms to provide guidance in this field. I’m happy Andrew started it this year!
I’m reminded that, as our survey indicated it, little has been expected of the Metric Store so we’ll have to keep watching the trend!



Insightful landing page from Gartner highlights some interesting predictions, namely:

More here.
Alan Duncan and Sarah James are also running a webcast to dive into Gartner 100 Data & Analytics Predictions Through 2028. 3 in particular caught my attention

If you find these resources useful, follow me on LinkedIN here and YouTube here.

If you find these resources useful, follow me on LinkedIN here and YouTube here.
Jarkko Moilanen (PhD)The evolution of data management practices into data products involves several key aspects. Traditional data management focused on internal…
Florian JunePriciples, Code Explanation and Insights about Adaptive-RAG and RQ-RAG
Axel SchwankeThe recommendations given are intended to help the reader better navigate the complexity of data mesh and provide some orientation.