CIO
DECEMBER 14, 2023
Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis.
TechCrunch
OCTOBER 18, 2022
The open source dynamic runtime code analysis tool, which the startup claims is the first of its kind, is the brainchild of Elizabeth Lawler, who knows a thing or two about security. Boston-based AppMap , going through TechCrunch Disrupt Startup Battlefield this week, wants to stop this bad code from ever making it into production.
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Xebia
MARCH 21, 2024
Developer productivity is a hot topic right now. One conclusion we can probably all agree on is that modeling developer productivity is hard. Can we use these five ideas as a lens through which we can look at developer productivity? Will it help us improve how we think about modeling developer productivity?
CIO
NOVEMBER 20, 2023
Measuring developer productivity has long been a Holy Grail of business. In 2020, McKinsey surveyed 440 large companies about their “ developer velocity” — meaning the practices that best tap the full potential of development talent. Right now, there are roughly 27 million developers on the job, 4.4 That isn’t easy.
Advertiser: ZoomInfo
It's quite a process for marketing teams to develop a long-term data management strategy. Download this ebook to learn how to maintain a strategy that includes refreshed information, database cleanses, and an accurate analysis at the same time.
OverOps
AUGUST 19, 2019
What’s the difference between static and dynamic code analysis, and how do you know which to use? Static code analysis is analogous to practicing your baseball swing with a practice net and a pitching machine. Static Code Analysis. These include common developer errors which are often found by “Code Peer Reviews”.
TechCrunch
JUNE 29, 2022
While there are many data analysis tools available, including the sophisticated data science variety, and more line of business-focused BI tools, it hasn’t been easy for a person with little experience to work with data without going to one of these experts for help. We feel there will be more adoption for tools like us.
Advertiser: ZoomInfo
This eBook highlights best practices for developing a pipeline management process that helps sales leaders and their team C.L.O.S.E you’ll see what we mean in this eBook) more revenue through data-driven prospecting, stage analysis, and subsequent sales enablement.
Speaker: Evan Leong - CEO & Founder, Product Signals
Customer feedback is integral to effective problem management and product development for senior product professionals. Despite its significance, many organizations struggle to collect and utilize feedback appropriately.
Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep
Together these have enabled individual service teams to become more independent and, as a result, have boosted developer velocity. Distributed tracing was developed at organizations like Google and Twitter to address these problems and has also come a long way in the decade since then.
Speaker: William Haas Evans - Principal Consultant, Head of Product Strategy & Design Practice, Kuroshio Consulting
From a product discovery/product management perspective, the purpose of experimentation is to focus our efforts on invalidating our assumptions to reduce the risk of developing and going-to-market with the wrong product. The purpose and value of experimentation (from a scientific and product perspective) is to produce new information.
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