DataGOL

?? ???????????????? ???? ????????????????: ???????? ????????’?? ????????-?????????? DataGOL’s Top Data, AI and Governance posts to be at the forefront of the Data & AI world! ?? Vin Vashishta highlights: ???????????? - ???????? ???????????????? ???? ?????????????????? ???? ???????? ?????? ?????????? ?? ?????? ??????????????????: ???GPT-4.5 faces resource limitations while underperforming expectations despite significant development time. ???Competitors (Meta, Amazon, Anthropic, Microsoft) are rapidly gaining market share with more efficient models and established user bases. ???OpenAI's frontier model approach is proving unsustainable due to data limitations and the industry's ability to quickly replicate advances. ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gmpnNSaC ?? Dylan Anderson highlights: ?????????? ???????????? ?????????? ?????? ?????? ?? ?????????????? ?? ?????? ??????????????????: ?? Assess Dashboard Purpose & Usage – Determine if the dashboard is a prototype or needs productionizing, and evaluate how often it's actually used. ?? Identify Ownership & Data Flow – Find out who owns and uses it, list data sources, and assess manual vs. automated processes. ?? Optimize for Scalability – Consider automation needs and align data strategy with broader business tools to avoid redundant efforts. ?? ?????????? ?????? ?????? ????????: https://lnkd.in/ghFuTAnn ?? Stuart Winter-Tear highlights: ?????????????? ???? ???????????? - ?????? ?????? ???????????????? ???????????? ?????????????????? ?????? ?????????????????????? ?? ?????? ??????????????????: ?? AI Agents accidentally left exposed without authentication at major companies ?? Researchers extracted sensitive financial data through these unauthenticated Agents ???If companies can't secure S3 buckets after years, AI Agent security looks concerning ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gQs2qUCm ?? Charlotte Ledoux highlights: ?????????????? ???????? ?????????????? ???????????? ?????? ?????????? ???????????????????????? ?? ?????? ??????????????????: ?? Unstructured data faces issues like diverse formats, poor metadata, and conflicting versions. ?? Solutions start with metadata review to exclude incompatible documents. ?? Process continues with parsing quality assessment and content analysis for meaning. ?? ?????????? ?????? ?????? ????????:?https://lnkd.in/gxhjrjDs ?? Generative AI highlights: ???? ???????????? - ?????????????? ????????????, ?????????????? ???????? ?? ?????? ??????????????????: ???AI agents deliver $5,000 value for 50￠ of compute, per Altman. ???Systems evolving from coding to independent scientific research. ???Vision: Autonomous AI making breakthroughs in physics, fusion, and medicine. ?? ?????????? ?????? ?????? ????????: https://lnkd.in/g_jaaqMG ?? Follow DataGOL and stay updated with our weekly highlights in the data community.

?? ???????????????? ???? ????????????????: ???????? ????????’?? ????????-?????????? DataGOL’s Top Data, AI and Governance posts to be at the forefront of the Data & AI world! ?? Dylan Anderson highlights: ?????????? ???????????? ?????????? ?????? ?????? ?? ??????????????. ?? ?????? ??????????????????: ?? Assess Dashboard Purpose & Usage – Determine if the dashboard is a prototype or needs productionizing, and evaluate how often it's actually used. ?? Identify Ownership & Data Flow – Find out who owns and uses it, list data sources, and assess manual vs. automated processes. ?? Optimize for Scalability – Consider automation needs and align data strategy with broader business tools to avoid redundant efforts. ?? ?????????? ?????? ?????? ????????: https://lnkd.in/ghFuTAnn ?? Vinod SP highlights: ???????? ???? ???????????? ???????????? ???? ???????????????? ?????? ???? ?????????????????? ???? ?????????????????????? ???? ????????????????.? ?? ?????? ??????????????????: ?? Automations handle predefined rule-based tasks, AI workflows involve LLMs in deterministic processes, while AI agents autonomously perform adaptive, non-deterministic tasks. ?? Businesses often seek AI agents but may actually need reliable automation for efficiency and scalability. ?? ?????????? ?????? ?????? ????????: https://lnkd.in/g_4Z5d_7 ?? Dr. Sebastian Wernicke highlights: ???????? ???????????????? ??????'?? ???????????????? ???????????????????? ???????? ???????????? ?? ?????? ??????????????????: ?? Silent but Costly Data Failures - Data failures operate unnoticed until competitors leverage data-driven strategies to outperform ?? Leadership Must Drive Data Transformation - Data strategy needs executive level commitment. ?? Data Mastery as a Competitive Necessity - Data mastery is essential to stay relevant in the competitive landscape. ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gmpJ2puc ?? Malcolm Hawker highlights: ???????? ?????????????????????? ???? ???????????? ?????????????????? ???????????????????? ?? ?????? ??????????????????: ?? Conflicting Priorities: Governance must balance efficiency, analytics, and cross-functional needs. ?? Undefined Success: Stakeholder needs vary, making governance goals inconsistent. ?? Cost vs. Value: High costs and unclear ROI lead companies to do the bare minimum. ?? ?????????? ?????? ?????? ????????: https://lnkd.in/g6H_tn5K ?? Follow DataGOL and stay updated with our weekly highlights in the data community. Like ??, comment ??, or re-post ?? to share with others. Got a post or conversation that caught your eye? Share it in the comments! #DataStrategy #AI #DataManagement #Analytics #SaaS #DataProducts #BusinessGrowth

?? ???????????????? ???? ????????????????: ???????? ????????’?? ????????-?????????? DataGOL’s Top Data, AI and Governance posts to be at the forefront of the Data & AI world! ?? DataGOL on : CFOs perspective to unlock Financial Efficiency ?? ?????? ??????????????????: ?? CFOs observe that finance teams spend 40% of their time reconciling data across outdated financial systems. Got a post or conversation that caught your eye? Share it in the comments! ?? CFOs can focus more on strategic decision-making, enhancing overall financial efficiency. ?? CFOs must track KPIs like time savings, error reduction, and collaboration to measure AI’s impact. ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gjVbj2Re ?? Dylan Anderson on: ML model vs. an AI solution ?? ?????? ??????????????????: ?? ML solves specific problems; AI tackles broader challenges. ?? ML has predictable timelines (3-6 months); AI requires longer, iterative development (6-12+ months) ??ML needs structured data and specialized expertise; AI handles diverse data but requires broader skill sets? ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gM6hVwrM ?? Vin Vashishta on: AI Needs Data: Why Cutting Data Engineers is a Costly Mistake ?? ?????? ??????????????????: ?? Replacing data engineers with AI is shortsighted - GenAI increases the importance of contextual data ?? AI business value comes from post-training with quality data, requiring reinforcement learning and data engineering ?? C-Suite executives must develop AI and data literacy as both become fundamental to business models ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gJc8AJ43 ?? Malcolm Hawker on: CDO in the C-Suite: Earned Seat or Entitled Position? ?? ?????? ??????????????????: ?? Recognition is Earned, Not Given – CDOs must prove their ability to drive measurable business value ?? The CDO Role is Still Evolving – many organizations are still defining its strategic impact and effectiveness. ?? Oversight Under CIO or CFO Can Be Beneficial – Incubating the CDO role under a CIO or CFO helps build credibility and maturity, rather than signaling a lack of commitment to data. ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gXSJ9qwz ?? ?Charlotte Ledoux on: From Business Strategy to Data Governance ?? ?????? ??????????????????: ?? Align Data Governance with Business Strategy – Data governance must directly support business goals and drive measurable outcomes. ?? Data Quality and Accessibility Matter – High-quality, well-managed data enables better decisions and operational efficiency. ?? Leadership Drives Data Success – Strong executive sponsorship and data culture drive governance success. ??? ?????????? ?????? ?????? ????????:https://lnkd.in/gZRCtU35 ?? Follow DataGOL and stay updated with our weekly highlights in the data community.

CFOs, is your finance team stuck in manual workflows? 40% of finance teams' time is wasted reconciling data across spreadsheets, emails, and legacy finance systems. The result? Errors, compliance risks, and missed insights. ?? According to McKinsey, automation can cut finance costs by 40%, yet many enterprises hesitate due to integration challenges. ?? With DataGOL—a cloud-based data intelligence platform that merges the familiarity of spreadsheets with the power of databases to: ? Automate financial process —budgeting, expense tracking, invoicing, and financial reporting ? Eliminate silos—integrate seamlessly with ERPs, CRMs, and accounting tools ? Enhance collaboration—real-time finance, procurement, and compliance alignment ? Reduce tool dependency—simplifying operations without costly BI tools ?? Real Impact: A global healthcare SaaS company cut financial reporting time from 10 days to 1 day using DataGOL’s workflow automation, seamless integrations with quickbooks & Netsuite and collaboration features. ?? Yet, AI adoption in finance faces challenges—data quality, integration hurdles, and ROI pressure. How are you tackling them?Let’s discuss in the comments! ?? #FinanceTransformation #AIinFinance #Automation #CFOInsights #DigitalFinance #DataGOL

?? ???????????????? ???? ????????????????: ???????? ????????’?? ????????-?????????? DataGOL’s Top Data, AI and Governance posts to be at the forefront of the Data & AI world! ?? Dylan Anderson on: Root Causes of Poor Data Quality ?? ?????? ??????????????????: ?? Business Related process problems: Standardize KPIs and data entry. ?? Management of? Multiple Data Sources: Manage system integrations and data ingestion. ?? Underinvestment in Data Governance: Fund Data Governance team for success. ?? Missing Quality Standards: Establish data quality standards and remediation methods. ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gHyajETk ?? Malcolm Hawker on: Can Databricks alone can solve MDM problems? ?? ?????? ??????????????????: ?? Missing essential MDM features: data stewardship, workflow management, governance tools ?? Can't sync master records with source systems or enforce real-time governance ?? Not Business user friendly for managing MDM policies ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gbHfswiZ ??? Tiankai Feng on: The journey of data teams in a nutshell ?? ?????? ??????????????????: ?? Proactively learning and teaching new skills (data, AI, business) is better than reactive approaches. ?? Data team created their own niche between tech/business ?? AI’s raise creates similar expertise gaps today ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gPGRmVdD ??? Steve Nouri on: The Agentic AI: What’s Under the Hood? ?? ?????? ??????????????????: ?? Data Fabric: Foundation providing structured data access ?? AI Agents: Decision-making and interaction components ?? Automation: Workflow coordination and execution layer ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gT4HPgUE ?? Dr. Sebastian Wernicke on: Stop collecting everything. Start collecting what counts. ?? ?????? ??????????????????: ?? Success comes from purposeful data collection and precise deployment, not data hoarding ?? Unfocused data collection often increases noise and false patterns ?? Effective data strategy will have clear connection between data collection and actionable insight ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gaX6gZyR ?? Follow DataGOL and stay updated with our weekly highlights in the data community. Got a post or conversation that caught your eye? Share it in the comments!

?? ???????????????? ???? ????????????????: ???????? ????????’?? ????????-?????????? DataGOL’s Top Data, AI and Governance posts to be at the forefront of the Data & AI world! ?? Dylan Anderson on: Root Causes of Poor Data Quality ?? ?????? ??????????????????: ?? Business Related process problems: Standardize KPIs and data entry. ?? Management of? Multiple Data Sources: Manage system integrations and data ingestion. ?? Underinvestment in Data Governance: Fund Data Governance team for success. ?? Missing Quality Standards: Establish data quality standards and remediation methods. ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gHyajETk ?? Malcolm Hawker on: Can Databricks alone can solve MDM problems? ?? ?????? ??????????????????: ?? Missing essential MDM features: data stewardship, workflow management, governance tools ?? Can't sync master records with source systems or enforce real-time governance ?? Not Business user friendly for managing MDM policies ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gbHfswiZ ??? Tiankai Feng on: The journey of data teams in a nutshell ?? ?????? ??????????????????: ?? Proactively learning and teaching new skills (data, AI, business) is better than reactive approaches. ?? Data team created their own niche between tech/business ?? AI’s raise creates similar expertise gaps today ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gPGRmVdD ??? Steve Nouri on: The Agentic AI: What’s Under the Hood? ?? ?????? ??????????????????: ?? Data Fabric: Foundation providing structured data access ?? AI Agents: Decision-making and interaction components ?? Automation: Workflow coordination and execution layer ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gT4HPgUE ?? Dr. Sebastian Wernicke on: Stop collecting everything. Start collecting what counts. ?? ?????? ??????????????????: ?? Success comes from purposeful data collection and precise deployment, not data hoarding ?? Unfocused data collection often increases noise and false patterns ?? Effective data strategy will have clear connection between data collection and actionable insight ?? ?????????? ?????? ?????? ????????: https://lnkd.in/gaX6gZyR ?? Follow DataGOL and stay updated with our weekly highlights in the data community. Got a post or conversation that caught your eye? Share it in the comments!

AI has been made to sound like the miracle elixir for every business problem. Organization's today have no choice but to urgently respond to the AI hype such that adoption becomes a race in and of itself. This article provide guidance to balance market pressure with strategic planning.

Hello everyone, You can now register for our first "Exploring AI" webinar hosted on Friday Feb 28th 2025 at 13:00 EST. This webinar is for those of us who are curious about the technology behind ChatGPT. The format will be casual and the intended audience is everyone. --No I.T. background required, register below-- ON THE AGENDA: - A brief history of A.I. - A quick A.I explainer (what's AI? a model? and so on) - A look at GenAI - Pain points to consider using GenAI Don't miss out!! ?? Fri, February 28th 13:00 - 14:00 EST (Eastern Standard Time) ?? REGISTER HERE ?? https://lnkd.in/efjdhacp ?? Follow us for more AI business insights ?? Share this post with your network ??Share your thoughts in the comments!

Hello everyone, You can now register for our first "Exploring AI" webinar hosted on Friday Feb 28th 2025 at 13:00 EST. This webinar is for those of us who are curious about the technology behind ChatGPT. The format will be casual and the intended audience is everyone. --No I.T. background required, register below-- ON THE AGENDA: - A brief history of A.I. - A quick A.I explainer (what's AI? a model? and so on) - A look at GenAI - Pain points to consider using GenAI Don't miss out!! ?? Fri, February 28th 13:00 - 14:00 EST (Eastern Standard Time) ?? REGISTER HERE ?? https://lnkd.in/efjdhacp ?? Follow us for more AI business insights ?? Share this post with your network ??Share your thoughts in the comments!

Why AI Projects Fail: The Data Readiness Gap AI is revolutionizing business, but over 60% of AI projects fail and the biggest reason? #Baddata. Many #CIOs assume that if their data is clean and structured, it’s ready for AI. But AI needs more than clean data—it needs real-world data with patterns, anomalies, and context to learn effectively. ?? Traditional Data vs. AI Data Needs ???Traditional BI tools work with structured, standardized data for reports and dashboards. ???AI models need real-world data, including errors and outliers, to recognize patterns and make predictions. ?? The AI-Ready Data Misconception Many believe GenAI eliminates the need for structured data. This is far from true. AI models still require quality input data to deliver accurate, bias-free results. Without structured and governed data, AI investments fail to deliver value. ?? Why Most Companies Aren’t Ready for AI ???Data Silos: Information scattered across different systems makes AI training ineffective. ???Underestimating Data Prep: Executives often downplay the time & cost of making data AI-ready. ???No Clear AI Data Strategy: Companies collect data but don’t structure it for AI use cases. ?? How to Fix This? 1?? Assess & Prioritize: Identify AI use cases and define the required data. 2?? Gain Buy-In: Educate leadership on the importance of AI-ready data. 3?? Build & Scale: Upgrade infrastructure to support AI-driven data needs. 4?? Govern & Adapt: Implement ongoing data governance and AI model tuning. At DataGOL, we help businesses transform their data into an AI-ready asset. Without the right foundation, AI efforts won’t scale or succeed. ?? If your company is struggling with AI adoption, let’s talk. AI is powerful—but only with the right data. #AI #DataStrategy #AIReady #DataGovernance #AImistakes #AIerrors