Suggestions
Mikhail P.
CIO in green energy company
Mikhail P. is the Chief Information Officer (CIO) at Solify.me, a company focused on disrupting the solar panel installation market through an AI-based installation and project management platform. He has over 25 years of experience in the healthcare and IT sectors, where he has been instrumental in integrating technology to enhance operational efficiency and patient care across various organizations, including national systems and startups.
In addition to his role at Solify.me, Mikhail has been a mentor and expert for the Skolkovo Foundation since 2018, where he provides guidance to startups in healthcare and health sciences. He has contributed over 500 expert opinions and conducted mentoring sessions to support these startups' growth. His previous experience includes significant roles at MEDSI Group of Companies, Microsoft, and Oracle, showcasing a strong background in IT strategy and business process optimization.1
Highlights
#CIO role evolves into #AntiHR as #AI reshapes #BusinessStrategy! 🚀 #FutureOfWork sees #ITLeaders challenging #HumanResources in #OrganizationalDesign, advocating for #AIAdoption over #HumanEmployees. 🤖 #DigitalTransformation #AIInBusiness #TechLeadership #InnovationManagement #WorkforceEvolution #AIEthics #StrategicIT #CIOEvolution #BusinessInnovation #TechTrends2023 #LeadershipInTech #AIRevolution #FutureProofing #DisruptiveTech #BusinessAI #TechStrategy #DataDrivenDecisions #AIWorkforce #DigitalDisruption
Few words from ancient CIO about MS Power BI.
Dove into #MS Power BI and hit disappointment quick. Looked slick at first—easy data pulls, fun viz in tutorials. Then, the reality hit hard:
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Data wrangling's a mess. M language for data transformation in Power Query? Syntax is a nightmare, feels alien compared to Excel.
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Data modeling's a manual slog. Power BI lets you graphically link tables, but it’s hands-on. Name your keys right, or suffer.
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DAX language for queries and variables? Unique syntax, steep learning curve.
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Dashboards and visualizations are all manual. Sure, you can use R and Python for viz, but it's still hands-on.
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SQL's MIA. Seems like they assume you've prepped your data in SQL, bypassing the Excel hell of self-referencing mega-tables that crash any PC under $5k.
To wrap up:
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Microsoft, my former team, what's happened? Why not just Python in MS Access? Would've been a game-changer. Easier to move all analysts to Dash, Streamlit, or Shiny than this (M, DAX, F#,...).
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How about a Python interface in Power BI for full-spectrum data handling? Let's speak one language for analytics through all the road - from ETL to business fuckups.
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It's the 21st century with AI everywhere, and PowerBI can't handle Excel logic for data models? It still exports just values, as 30 years ago, not logic, not formulas, not assigning measures and vars from named cells. Time to level up. I need to give to Your PowerBI or Azure Data Studio an interconnected 5GB mess of Excel files from financial or healthcare dep., and receive a well-done work from AI-based Micheline data-kitchen with ready-to-analyze data model. It is your own Excel, Karl!!! Can't You?
#microsoft #data_analytics #power_bi #ms_power_bi
