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# ![@DataFirstGroup Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1961672170859610112.png) @DataFirstGroup Data First Consultancy

Data First Consultancy posts on X about databricks, #ai, 6969, accuracy the most. They currently have XXX followers and XXX posts still getting attention that total XX engagements in the last XX hours.

### Engagements: XX [#](/creator/twitter::1961672170859610112/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1961672170859610112/c:line/m:interactions.svg)

- X Week XXX -XX%
- X Month XXXXX +223%

### Mentions: X [#](/creator/twitter::1961672170859610112/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1961672170859610112/c:line/m:posts_active.svg)

- X Week XX no change
- X Month XXX +154%

### Followers: XXX [#](/creator/twitter::1961672170859610112/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1961672170859610112/c:line/m:followers.svg)

- X Week XXX -XX%
- X Month XXX +288%

### CreatorRank: undefined [#](/creator/twitter::1961672170859610112/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1961672170859610112/c:line/m:influencer_rank.svg)

### Social Influence [#](/creator/twitter::1961672170859610112/influence)
---

**Social category influence**
[technology brands](/list/technology-brands)  [stocks](/list/stocks) 

**Social topic influence**
[databricks](/topic/databricks), [#ai](/topic/#ai), [6969](/topic/6969), [accuracy](/topic/accuracy), [dos](/topic/dos), [doordash](/topic/doordash), [python](/topic/python), [realtime](/topic/realtime), [grind](/topic/grind), [skims](/topic/skims)

**Top assets mentioned**
[DoorDash, Inc. (DASH)](/topic/doordash)
### Top Social Posts [#](/creator/twitter::1961672170859610112/posts)
---
Top posts by engagements in the last XX hours

"Digging into Qwen3-VL Eivind Kjosbakken shows how a vision - language model can extract tables and handwriting from messy PDFs with a single prompt - no bespoke OCR. Key point: prompt craft still beats sheer size. #LLMs #ComputerVision #AI"  
[X Link](https://x.com/DataFirstGroup/status/1980571653479256350) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-21T09:47Z XXX followers, XX engagements


"Fresh from six months on the GenAI hackathon circuit Parul Pandey distils a punchy set of dos and donts. Key takeaways Ill be borrowing: Novel demos are fine but judges remember clear user value Bring a domain voice into the team early - it steers prompts and keeps scope sane Build an evaluation loop you can show live; accuracy claims without metrics sink fast Ship a landing page - feedback is data Good reminder that hackathons are less about code and more about pressure testing product strategy. #GenerativeAI #Hackathons #DataScience Need guidance on GenAI hackathons Check"  
[X Link](https://x.com/DataFirstGroup/status/1980541446420562025) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-21T07:47Z XXX followers, X engagements


"Rosidis guide to wrangling 200k messy DoorDash rows into a model-ready set shows why you profile early and script fixes for null coords duplicate orders flaky timestamps. Practical tool-agnostic worth bookmarking. #DataCleaning #MLOps #Python"  
[X Link](https://x.com/DataFirstGroup/status/1980587086861185044) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-21T10:48Z XXX followers, XX engagements


"Stumbled on Databricks read of Gartners 2025 Risk Report. Their five 'future-proof' themes - real-time insights AI-powered scenario modelling unified data fabric cloud elasticity and a risk-centric culture - double as a neat sales pitch for the lakehouse. The data unification angle is valid yet the article skims past the grind of data hygiene model validation and the human change work. Handy for benchmarking but keep your procurement goggles on. #RiskManagement #DataGovernance Need support with risk data strategy Visit"  
[X Link](https://x.com/DataFirstGroup/status/1979469344854683951) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-18T08:47Z XXX followers, XX engagements


"Databricks sketches a future where AI agents handle media buying creative and reporting while humans steer strategy. Fair enough but you still need clean data pipelines (guess who sells those) and robust brand safety guardrails. #AdTech #AI"  
[X Link](https://x.com/DataFirstGroup/status/1979484466289459435) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-18T09:47Z XXX followers, XX engagements


"Rudderstacks take on privacy-safe AI analytics: capture metadata hash IDs drop raw prompts. Sensible but it funnels you to their warehouse CDP; youll still need prompt redaction and tight access controls. #AIBuilders #DataPrivacy"  
[X Link](https://x.com/DataFirstGroup/status/1980209296731250951) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-20T09:47Z XXX followers, X engagements


"Fresh take from Databricks on turning a lakehouse into a digital mind powered by multi-agent AI. They pitch a neat recipe: Delta tables as shared memory Unity Catalog as referee vector search + MosaicML models for cognition and Workflows to glue the agents together. Sensible but two caveats are left vague: 1) how you version prompts/agent logic alongside data; 2) who arbitrates GPU cost and compliance when agents fight for resources. Still a useful framing if youre deciding where to centralise vs federate GenAI workloads. #DataArchitecture #GenAI Need guidance on GenAI platform strategy Check"  
[X Link](https://x.com/DataFirstGroup/status/1980224807988867212) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-20T10:49Z XXX followers, XX engagements


"OpenAI puts Plex Coffee in the spotlight: ChatGPT Business centralises recipes and speeds up onboarding. Nice example of small retail scaling but it's also a sales pitch - no numbers on cost data hygiene or measurable uplift. #AI #SMB"  
[X Link](https://x.com/DataFirstGroup/status/1980270179377389984) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-20T13:49Z XXX followers, XX engagements


"Snowflakes latest piece details Copilot - an in-console LLM that turns chat into SQL and proposes tweaks. Useful for boilerplate and onboarding but with only metadata visibility its performance advice still needs human scrutiny. #DataEngineering #Snowflake"  
[X Link](https://x.com/DataFirstGroup/status/1980662402384310598) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-21T15:48Z XXX followers, XX engagements

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

@DataFirstGroup Avatar @DataFirstGroup Data First Consultancy

Data First Consultancy posts on X about databricks, #ai, 6969, accuracy the most. They currently have XXX followers and XXX posts still getting attention that total XX engagements in the last XX hours.

Engagements: XX #

Engagements Line Chart

  • X Week XXX -XX%
  • X Month XXXXX +223%

Mentions: X #

Mentions Line Chart

  • X Week XX no change
  • X Month XXX +154%

Followers: XXX #

Followers Line Chart

  • X Week XXX -XX%
  • X Month XXX +288%

CreatorRank: undefined #

CreatorRank Line Chart

Social Influence #


Social category influence technology brands stocks

Social topic influence databricks, #ai, 6969, accuracy, dos, doordash, python, realtime, grind, skims

Top assets mentioned DoorDash, Inc. (DASH)

Top Social Posts #


Top posts by engagements in the last XX hours

"Digging into Qwen3-VL Eivind Kjosbakken shows how a vision - language model can extract tables and handwriting from messy PDFs with a single prompt - no bespoke OCR. Key point: prompt craft still beats sheer size. #LLMs #ComputerVision #AI"
X Link @DataFirstGroup 2025-10-21T09:47Z XXX followers, XX engagements

"Fresh from six months on the GenAI hackathon circuit Parul Pandey distils a punchy set of dos and donts. Key takeaways Ill be borrowing: Novel demos are fine but judges remember clear user value Bring a domain voice into the team early - it steers prompts and keeps scope sane Build an evaluation loop you can show live; accuracy claims without metrics sink fast Ship a landing page - feedback is data Good reminder that hackathons are less about code and more about pressure testing product strategy. #GenerativeAI #Hackathons #DataScience Need guidance on GenAI hackathons Check"
X Link @DataFirstGroup 2025-10-21T07:47Z XXX followers, X engagements

"Rosidis guide to wrangling 200k messy DoorDash rows into a model-ready set shows why you profile early and script fixes for null coords duplicate orders flaky timestamps. Practical tool-agnostic worth bookmarking. #DataCleaning #MLOps #Python"
X Link @DataFirstGroup 2025-10-21T10:48Z XXX followers, XX engagements

"Stumbled on Databricks read of Gartners 2025 Risk Report. Their five 'future-proof' themes - real-time insights AI-powered scenario modelling unified data fabric cloud elasticity and a risk-centric culture - double as a neat sales pitch for the lakehouse. The data unification angle is valid yet the article skims past the grind of data hygiene model validation and the human change work. Handy for benchmarking but keep your procurement goggles on. #RiskManagement #DataGovernance Need support with risk data strategy Visit"
X Link @DataFirstGroup 2025-10-18T08:47Z XXX followers, XX engagements

"Databricks sketches a future where AI agents handle media buying creative and reporting while humans steer strategy. Fair enough but you still need clean data pipelines (guess who sells those) and robust brand safety guardrails. #AdTech #AI"
X Link @DataFirstGroup 2025-10-18T09:47Z XXX followers, XX engagements

"Rudderstacks take on privacy-safe AI analytics: capture metadata hash IDs drop raw prompts. Sensible but it funnels you to their warehouse CDP; youll still need prompt redaction and tight access controls. #AIBuilders #DataPrivacy"
X Link @DataFirstGroup 2025-10-20T09:47Z XXX followers, X engagements

"Fresh take from Databricks on turning a lakehouse into a digital mind powered by multi-agent AI. They pitch a neat recipe: Delta tables as shared memory Unity Catalog as referee vector search + MosaicML models for cognition and Workflows to glue the agents together. Sensible but two caveats are left vague: 1) how you version prompts/agent logic alongside data; 2) who arbitrates GPU cost and compliance when agents fight for resources. Still a useful framing if youre deciding where to centralise vs federate GenAI workloads. #DataArchitecture #GenAI Need guidance on GenAI platform strategy Check"
X Link @DataFirstGroup 2025-10-20T10:49Z XXX followers, XX engagements

"OpenAI puts Plex Coffee in the spotlight: ChatGPT Business centralises recipes and speeds up onboarding. Nice example of small retail scaling but it's also a sales pitch - no numbers on cost data hygiene or measurable uplift. #AI #SMB"
X Link @DataFirstGroup 2025-10-20T13:49Z XXX followers, XX engagements

"Snowflakes latest piece details Copilot - an in-console LLM that turns chat into SQL and proposes tweaks. Useful for boilerplate and onboarding but with only metadata visibility its performance advice still needs human scrutiny. #DataEngineering #Snowflake"
X Link @DataFirstGroup 2025-10-21T15:48Z XXX followers, XX engagements

@DataFirstGroup
/creator/twitter::DataFirstGroup