Friday, 31 December 2021

VB Daily | December 31 - Sunsetting 2021 and eyeing 2022

Daily Roundup
Presented by   
It's New Year's Eve 🎊 — which means you're probably getting a flood of "the year in review" newsletters in your inbox.
Well, we're no exception, but we promise these are worth reading before midnight! ðŸ•°️

The Lead
[1] The top 5 enterprise analytics  stories of 2021 (and a peek into 2022)
[2] How to discover AI code, know-how with CatalyzeX 
[3]  The 5 most popular infrastructure  stories of 2021 and what they reveal about 2022
The Follow
[1] In 2021, everything from databases, to baseball, to no-code AI for data scientists, to graph analytics, to even events got an analytics makeover this year.
Heading into 2022, Chris Howard, the chief of research at Gartner, and his team wrote in its Leadership Vision for 2022 report on the Top 3 Strategic Priorities for Data and Analytics Leaders that "progressive data and analytics leaders are shifting the conversation away from tools and technology and toward decision-making as a business competency. This evolution will take time to achieve, but data and analytics leaders are in the best position to help orchestrate and lead this change." 
The enterprise analytics sector this year foreshadowed much of what's to come. Here's a look back at the top stories from 2021, and where these themes carry the industry in 2022…
  1. Databases get real-time analytics capabilities and integrations
  2. Popular baseball analytics platform moves to the cloud
  3. Data scientists will soon get a hand from no-code analytics
  4. Life is increasingly split between virtual and in-person – analytics must follow
  5. Graph database gets a revamp
So what's ahead for 2022? The analytics landscape will become increasingly complex in its capabilities, while simultaneously becoming even more user-friendly for researchers, developers, data scientists, and analytics professionals. >> Read more.
[2] When it comes to building an AI project, whether it's for speech recognition or some other use case, data scientists and developers spend plenty of time on Google, sifting through existing research that has already been conducted in the same area.
The goal of the effort is to understand which techniques and models have been applied and which of those are good enough to refer to or build on. However, the problem is that with tens of thousands of research articles already on the internet, finding relevant technical material for the project at hand comes off as an extremely tedious task.
California-based CatalyzeX solves this challenge with a dedicated search engine to discover AI models and code. The solution, powered by the company's in-house crawlers, aggregators, and classifiers, automatically goes through technical papers on sites such as Arxiv as well as code platforms to match and link machine learning models and techniques with various corresponding code implementations.
Here's how you can use it to build your own AI project. >> Read more.
[3] In Gartner's Leadership Vision for 2022: Infrastructure and Operations report, Gartner analysts Nathan Hill and Tim Zimmerman share that in 2022, "infrastructure and operations leaders must deliver adaptive, resilient services that support continuous and rapid business change."
In a similar vein, VentureBeat's top trending stories on infrastructure from the past year have focused on the resiliency, adaptivity, integrity, interoperability, and flexibility of enterprise infrastructure and data. Improving infrastructure across industries is necessary to increase innovation and efficiency globally.
  1. Nvidia and Bentley team up to streamline U.S. infrastructure
  2. Can open-sourcing agriculture infrastructure optimize crop growing?
  3. The vitality of infrastructure-as-a-service
  4. Scaling infrastructure for a cloud-centric world
  5. Managing the ever-changing landscape of infrastructure
In 2022, expect the industry to demand more sophisticated tools that can efficiently and reliably manage infrastructure. >> Read more.
Event Marketing Strategy for Dummies

 

The Buzz
Abeba Birhane
Hard to imagine but it's possible to be optimistic about AI & my hope & optimism for 2022 comes from scholars, notably Black women, who critique & audit datasets/models. Their work is reason not for defeatism/skepticism but for hope & cautious optimism. https://t.co/SAPZLcVtht https://t.co/xEU7LB0PIz
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