We repositioned GaanaAI and brands started moving 10x faster.
Old pitch: "AI-powered catalog visuals" New pitch: "Here are your finished assets"
Same tech. Different promise.
SaaS → Outcomes as a Service. That's the shift.
For decades, agencies scaled by hiring. That's breaking. AI-native means building systems, not using tools.
At @GaanaAI , we were a tool brands experimented. We built systems delivering finished work brands bought.
@ycombinator now backs AI-native agencies.
@aaron_epstein
A8: I think it is blockchain but someone who knows how to speed up the system to make it viable for real-time use cases. Blockchain is too slow today... #eweekchat https://t.co/ts7AN9YL7j
A7: You are right, security attacks will continue to increase. Today's ransomware may seem trivial when new techniques come around... Imagine what someone can do with deepfake... :-( #eweekchat https://t.co/eRtCn3WFEZ
@marsanfra AI is not too expensive. It's only expensive when you have bad vendors who misled clients. We have seen it way too often. #eweekchat https://t.co/1iAPJtgxAZ
A6: AI/ML will surpass its hype. It's really the lack of knowledge and maturity that hampers the adoption. Furthermore, there are too many fake AI players to are creating all sorts of confusion. There are already many successfully AI use case... #eweekchat https://t.co/30vOCSORHe
A4: Enterprise creating huge team to build internal biz apps. With the severe talent constrain, this strategy is akin to the mainframe strategy from years ago. #eweekchat https://t.co/pEfyxcHbmq
A3: AI Governance is no longer about regulatory compliance or for specific sectors. It will impact any businesses that try to understand what AI is truly doing. Therefore the adoption of AI Governance will increase. #eweekchat https://t.co/T8TgZvZSbQ
A2: The use of AI will continue to grow, the one major twist is perhaps more so with companies that cannot adopt cloud-only AI solution. #eweekchat https://t.co/gIW0RGTwyW
A1: Many organizations will finally realized they cannot adopt the same strategy like the big cloud vendors to do AI. Instead, they need to realize their AI investment with some practical tools. #eweekchat https://t.co/AR74EdugF8
news: @dominos pizza dishes up optimized #AI and #ML solutions at scale using @getdatatron’s centralized AI #modelOps and #governance platform. https://t.co/4TQpBCMeFS
Model governance and management provider @getdatatron announces Datatron Governance Dashboard—adaptive, performance-based #ModelOps#governance platform that provides #AI and #ML model transparency to optimize business outcomes. https://t.co/hgUOQQndcE
Join @thinkingkiddo from @getdatatron for his presentation "Datatron Presents: A Trusted Approach to MLOps" January 27th at 2:45 PM EST at #MLLifecycleConf. To register go to: https://t.co/mReQa5j73t #ML#AI https://t.co/bNdDNeHTfD
What are machine learning model governance and model operations 🙌 new post with @davidtalby@thinkingkiddo ⇢ we survey the landscape of tools for building and deploying robust, production-ready machine learning models https://t.co/ujPByHGZIz
One of our keynote speakers @thinkingkiddo Harish Doddi sharing insights on #MachineLearning model life cycle management in production @Synechron InSync Charlotte event.