med-mastodon.com is one of the many independent Mastodon servers you can use to participate in the fediverse.
Medical community on Mastodon

Administered by:

Server stats:

415
active users

#datastrategy

0 posts0 participants0 posts today

Overcoming Data Analytics challenges. Data analytics teams in Austria, Denmark, Germany and Netherlands often struggle with defining a clear data strategy and integrating advanced analytics tools. These challenges limit the potential for data-driven decision-making.

Pain Points:
Defining a comprehensive data strategy.
Integrating advanced analytics tools.
Ensuring data quality and consistency.

As noted in Austrian data analytics challenges, privacy, security, and data ownership are significant concerns. Additionally, barriers to data adoption include data consolidation and governance.

Pain Points and barriers to the adoption of Data services
plainconcepts.com/pain-points-

Austrian data analytics challenges
iktderzukunft.at/resources/pdf

📢 Calling all data enthusiasts! 📢

It's time for the next episode of The Drill Down with Ahmad & James, featuring an in-depth discussion on 𝗧𝗵𝗲 𝗗𝗔𝗥 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲. In this livestream, Ahmad Chamy and I will share how you can apply this simple principle to revolutionize your approach to 𝗗ashboarding, 𝗔nalysis, and 𝗥eporting in Power BI and Fabric. Perfect for anyone looking to enhance their organization's data-driven decision-making capability! 📈🔍

🗓️ Date: Wednesday, 5 February 2025
🕒 Time: 2PM CST

👉 RSVP here, and let’s chart a course to better data analytics together! 📈
lnkd.in/gSi6_CRF

lnkd.inThe Drill Down with Ahmad & James: The DAR Principle | LinkedInTune in to this episode of The Drill Down with Ahmad and James, as we explore The DAR Principle and how it can help you improve your Dashboards, Analysis, and Reporting in Power BI and Fabric. Discover practical tips and strategies to take your data analytics to the next level. Get ready for an insightful session! 🎯📊 🗓️ Date: Feb 5 🕒 Time: 12 PM PST 🔗 Register today, and let's improve our DAR-chitecture together! 🏛️ #TheDrillDown #PowerBI #MicrosoftFabric #DataVisualization #DARPrinciple #BusinessIntelligence #DataStrategy

Our #DataLeaders Summit is coming back to #Wexford in March! Join our invited keynote speakers and panellists for a focussed discussion on four strategic data topics for leaders in organisations. Details of the event can be found at the link below. Spaces are limited and early bird discounts for event packages including accommodation expire at the end of the month!
summit.castlebridge.info/
#DataStrategy #DataGovernance #DataLiteracy #DataLeader

Had an excellent two days at #UVUAfrica in Woodstock, #CapeTown.

Yesterday we launched Africa's first City #DataStrategy, and today we had a great workshop led by some excellent experts from orgs such as #OpenCitiesLab, #GDS, #ODI and #eGovFoundation

Check it out - resource.capetown.gov.za/docum

Also, it's just nice to be in a room with my colleagues.

📚 New book alert!

💡 Discover the fascinating fusion of humanity and data from Thoughtworks’ Data Strategy and Governance Lead, Tiankai, in his groundbreaking new book, 'Humanizing Data Strategy.'

In a world where data reigns supreme, Tiankai sheds light on the often-overlooked emotional influences and biases in data analysis.

He stresses the need for empathy and compassion in an era of data-driven decisions.

Uncover the human side of #DataStrategy.

Get the book here: ter.li/wbq0cl

#AI Sunday Rant

AI Products will have to get closer to the datasets (not the other way around). This is another way to say that the models will have to continue to shrink and get closer to the "edge." Even if that is not the case, it means that the power is in the hands of the data owners.

When thinking about the total cost of switching from one model (family) to another, it's a race to zero, and even now, the cost is extremely low. When building an AI application, abstracting components is as important as it always has been to avoid vendor lock-in in more likely areas.

The value of foundational models is a race to the bottom, especially considering some of the biggest players are betting on open-sourcing them forever. The continuous increase in AI Model Context Windows will result in diminishing returns for fine-tuned models. The reason is that if you could build your prompts dynamically and programmatically very granularly (at scale), there is no actual need or less of a need for fine-tuning.

10 data commandments to help create and sustain a culture with data at its core:
① Data-driven culture starts at the (very) top;
② Choose metrics with care – and cunning;
③ Don’t pigeonhole your data scientists within silos;
④ Fixed basic data access issues quickly;
⑤ Quantify uncertainty;
⑥ Make proofs of concept simple and robust;
⑦ Offer specialized training where needed;
⑧ Use analytics to help employees as well as customers;
⑨ Be willing to trade flexibility in programming languages for consistency in the short-term;
⑩ Get in the habit of explaining analytical choices.

Despite being three years old, the article "10 Steps to Creating a Data-Driven Culture" by David Waller remains highly relevant and insightful in the pursuit of establishing a genuinely data-driven organization. Jimmy N.

hbr.org/2020/02/10-steps-to-cr

Harvard Business Review · 10 Steps to Creating a Data-Driven CultureFor many companies, a strong, data-driven culture remains elusive, and data are rarely the universal basis for decision making. Why is it so hard? Our work in a range of industries indicates that the biggest obstacles to creating data-based businesses aren’t technical; they’re cultural. We’ve distilled 10 data commandments to help create and sustain a culture with data at its core: Data-driven culture starts at the (very) top; choose metrics with care – and cunning; don’t pigeonhole your data scientists within silos; fix basic data access issues quickly; quantify uncertainty; make proofs of concept simple and robust; offer specialized training where needed; use analytics to help employees as well as customers; be willing to trade flexibility in programming languages for consistency in the short-term; and get in the habit of explaining analytical choices.

Data engineers enable businesses to harness the power of data, transforming ambiguous datasets into clear actionable outputs. Their role is essential to any organization looking to gain a competitive edge, making data not only readable, but also interpretable and actionable. With their skills, businesses are better equipped to navigate the complex data landscape and make informed decisions.

cio.com/article/222004/what-is

Data Strategy: Gitlab + Google

Google has announced a partnership with GitLab to expand AI-Assisted capabilities. This is another example of how vital data assets will become as we shift to data-hungry LLMs. You wouldn't expect Google to partner to obtain data to improve their models, but there are just two major players when it comes to source code.

Atlassian is a prominent name that needs to be added to the mix of AI-Assisted Coding products. While the BitBucket marketplace allows for Code Review Assistants, it has not yet announced any significant headway in this space, similar to the announced Atlassian Intelligence enhancements for Jira and Confluence.

One may argue that this concerns Atlassian's inability to use privately hosted code versus GitLab and GitHub, which boast much larger open-source communities. This is an area to monitor, particularly based on legal outcomes for copyright use cases associated with source code.

#data #ai #strategy #datastrategy #ml #dataprivacy #software #softwaredevelopment #sourcecode #opensourcesoftware #opensource #coding #legal #github #google #startups

googlecloudpresscorner.com/202

Google Cloud Press CornerGitLab and Google Cloud Partner to Expand AI-Assisted Capabilities with Customizable Gen AI Foundation ModelsGitLab AI-powered security feature to leverage Google Cloud's foundation models to empower customers to identify and remediate vulnerabilities more efficiently while maintaining privacy standards...

#IntroPost We're a #DataStrategy, #DataProtection, and #DataGovernance consultancy based in Wexford, serving the world. We've been at this since 2009.

And we're called Castlebridge because of how the Guiness Book of Records became a huge business empire because of a small question about data. See castlebridge.ie/castlebridge-t for more about that!

CastlebridgeCastlebridge TriviaCastlebridge is a name that has a long pedigree in data, going back to the birth of the Guinness Book of World Records. Read to learn more

How much is your search intent worth? A lot more than we realize. Google pays Apple 15 billion to be the default engine in their products. It’s now now considering building a competing solution. Maybe for leverage in negotiations or perhaps to go head to head?

Lately Apple is starting to look a lot less like the privacy warrior it claimed to be and becoming yet another tech giant that harvests your data (Apple TV, App Store Ads etc)

macrumors.com/2022/12/19/apple

MacRumorsApple Pushing to Launch Search Engine to Rival GoogleBy Hartley Charlton