The future of AI isn't just for Fortune 500 companies.
It's time for the democratization of AI agents.
At https://t.co/TC9GgldSYV, we built our platform for enterprise, but the future belongs to everyone. That's why we're bringing the same AI agent platform to individuals, entrepreneurs, SMBs, and global enterprises alike.
Today, my AI agents help me:
• Manage email & calendar
• Close our books
• Update financial forecasts
• Keep our CRM and ERP in sync
• Automate workflows that used to consume hours every week
And we're discovering new use cases almost daily.
The age of software is evolving into the age of AI agents. Every person and every business should have access to that future.
Try https://t.co/TC9GgldSYV free for 3 days and start building your own AI-powered workflows:
https://t.co/bCKr6WdHn6
#AgenticAI #AIAgents #EnterpriseAI #Automation #FutureOfWork
I am excited to announce my new role as CEO and Operating Partner of https://t.co/TC9GgldSYV, a CXOAGI company.
Adomo is an AI - a super agent built for CFOs and executive teams who are ready to move beyond “AI‑enhanced reporting” to a fundamentally new operating model for finance and the enterprise. We are coming out of stealth with an agentic solution that connects financial, operational, and market data to keep leadership continuously informed, aligned, and ready to act. Don't replace your analysts, supercharge them by adding Adomo to your team.
https://t.co/TC9GgldSYV ingests data from ERP, EPM, CRM, HR, and operational systems to automate forecasting, scenario modeling, variance analysis, and board‑ready narratives. The goal is simple: less time wrestling spreadsheets and slide decks, more time making informed, high‑conviction decisions with foresight instead of hindsight.
I’m interested in conversations with CFOs, PE sponsors, and services leaders who are exploring AI‑native solutions for real workflows. If you’re rethinking how finance should actually work in an AI world, I’d love to compare notes.
Proud to be co-founder of the first firm to take picks and shovels businesses and turn them into data businesses! Hear more about the "how" on this second of two podcasts, featuring Pilot Wave Holdings. #data#mlops#utilityindus…https://t.co/3YFGwldKbG https://t.co/SfLJRWZOFm
My goodness! Hard to believe this ChatGPT discussion was only two months ago. Four days later Google released Bard, and now large language models are proliferating like tribbles! What IS exciting to me about this is the repurposing of LLMs to be i…https://t.co/C7xGxBgXVY
Kudos to the Connect Atlantic Utility Services team for actively addressing one of the greatest risks to the continued availability of electricity! Keeping the pipeline filled with highly qualified apprentices, learning from highly tenured linemen, deve…https://t.co/smKKF1uoGR
@danfaggella Love the Success Factors series. Beena brought up a great point, it's a journey, not a destination. The combination of Beena's and Daniele's discussions highlight not just the crawl, walk, run evolution, but the value of integrating tradition…https://t.co/fyCtBjTe0i
I'm back on line after a hiatus - I continued working on my book - "Business AI: Your Field Guide to the Intelligent Enterprise". I also spent a year doing due diligence on an acquisition, which completed in March. I look forward to taking you on a journey of AI enablement!
Humanity's best defense against the #Singularity is the re-skilling of workers on Enterprise #AI. In order to avoid a problem, you need to be able to recognize it.
#EnterpriseAI#DataScience
@ASCEND2019 thank you #accenture but so much more to do. I sincerely hope you achieve 50/50 in 2025, but time is against you. Let's see if you can make it happen in middle management, which is the main hurdle to progress.
Sponsorship not mentoring will make a difference. Tying metrics on diversity to compensation is the only way to enact change. @ASCEND2019 #ascendcommittment
At @Acsend2019 in NYC discussing diversity in business leadership.This in spite of diversity efforts for decades. Young diverse people coming in expect this has already been effectively addressed.Most C-suites have implemented programs attempting to address it. Little movement.
In the #WIDS2019 Stanford Livestream event. 400 female data science practioners and thousands remote at a global scale! Truly inspirational, and gives hope for achieving the diversity we must have for the highest performing teams. In order to solve the world's toughest problems.
This is a short list, but a good one. Also, models put into production but not monitored for perf degradation as data streams in. #DataScience#ml#bigdata#datasciencecentral https://t.co/AOaNhHmYDI
The reason that we stick with this AI thing is we have spent the past breaking technology in pursuit of the future. And it's here. The day tech stopped breaking was the day high performance computing became possible at the corporate level. I, for one, am pursuing that Nirvana.
@AndrewYNg Moving from academic lab to industry requires including proven Enterprise scale best practices into the transition plan. Taking #ML into industry without them is a red flag on probability of success and relegates data science back to interesting experiments not transformational.
Sorry guys, #Apple's woes aren't based on a global slow down. There are only so many potential #iPhone users on the planet, only a subset that will or can fork over a grand for a phone, and #China will swamp their own population with lower cost alternatives. Of course estimates⬇️
“ As the A.I. researcher Pedro Domingos noted in his book ‘The Master Algorithm,’ ‘People worry that computers will get too smart and take over the world, but the real problem is that they’re too stupid and they’ve already taken over the…” — @nytopinion https://t.co/5RFWRv8sT5