#BicycleAI CEO Bhaskar Sunkara explains why real-time #analytics with context has been nearly impossible (until now) and how #AgenticAnalytics changes everything.
https://t.co/2yFIg9CUYB
The conversation continues! AI Rebels linked up with Bhaskar Sunkara of @BicycleAI_ to discuss the coming explosion of always-on agents, and how to build the organizational trust structure that enables them to be effective contributors to your team
LINKS BELOW!!!
56% of eCom leaders are “highly confident” they catch revenue leaks, but 50%+ of issues are found by customers first. Only 16% fix leaks within an hour. #BicycleAI bridges the gap—analyze, act & stop margin loss fast! Download Report https://t.co/C298RvTxU1
"The bigger shift comes from AI’s ability to handle the operational complexity that has traditionally broken travel systems,” says Ankit Sawant, co-founder and CEO of OnArrival.
Read the full Q&A here: https://t.co/OChWgZILrq
In partnership with @Travelonarrival
#BicycleAI CEO Bhaskar Sunkara explains why real-time #analytics with context has been nearly impossible (until now) and how #AgenticAnalytics changes everything.
https://t.co/2yFIg9CUYB
Lost bookings, broken APIs, unreliable dashboards, payment issues—travel companies know the cost. #BicycleAI analyzes your booking stack in real time to pinpoint problems—no guessing, no firefighting. Boost conversions with actionable insights. #AgenticAnalytics#FutureOfTravel
Travel companies, drowning in data but starved for decisions? 80% of online bookings are abandoned, and mobile friction hurts conversions. #BicycleAI connects your systems to automate real-time decisions—turn data into action & stop revenue leaks. DM for a demo! #AgenticAnalytics
Remapping Travel With Agentic AI: #AgenticAI could upend the travel industry. Travel and hospitality organizations should explore how it can catalyze AI’s transformative potential.
@skift https://t.co/uNYhHHYcuU
Payment failures don’t just frustrate users—they break trust and bleed revenue. 15% of online payments fail on the first try; mobile failure rates are 20% higher. #BicycleAI detects payment issues in real time and helps reduce failures and churn. #Fintech#AgenticAnalytics#BI
7 out of 10 online shoppers abandon carts—$260B lost in 2025 alone. Traditional #BI shows what happened; Bicycle AI reveals why & helps fix it in real time. Built for high-volume retail, we turn data into action without delays. DM us to learn more! #RetailTech#BicycleAI
Gartner forecasts #AI agents will augment or automate 50% of business decisions by 2027. The shift from legacy dashboards to decision agents is real and happening now. At #BicycleAI, we see it in retail, fintech & travel—where speed and accuracy are everything. #AgenticAnalytics
UrbanPiper powers 35,000+ restaurants across 30+ countries, processing millions of orders weekly via Swiggy, Zomato & more. Partnering with #BicycleAI for real-time anomaly detection & alerts, they’re raising the bar in food tech innovation. Ready to shift gears? Follow us!
#BicycleAI 2026 Report: #Retail & #eCommerce face a "Confidence Gap"—leaders think they catch issues in real-time, but reactive fixes persist. Real-time data analysis & instant action are key to closing silent revenue leaks. Read the report https://t.co/g58jcUhlMn! #RetailTech
We’re proud to announce that U.S.-India Business Council (USIBC) and the U.S. Chamber of Commerce are Official Partners with the Ministry of Electronics and Information Technology (MeitY) for the AI Impact Summit 2026.
Together, we look forward to advancing the U.S.-India technology partnership, fostering responsible and trusted AI innovation, and convening industry and government leaders to shape the future of the digital economy.
#AIImpactSummit2026 #USIndiaPartnership #ArtificialIntelligence #Innovation #DigitalFuture
@USAmbKeshap@earth2miller@Usibc_md@OfficialINDIAai@USChamber@sameerguduru@YaminiJindal@adityakaushik00@AditiAnarayanan
Traditional #BI is broken—and in today’s fast world, that’s a liability. Decision-making is evolving. Meet #BicycleAI: the #AgenticAnalytics platform that detects anomalies, explains causes & recommends instant action—before revenue is lost. #AgenticAnalytics#AIForOps
How can businesses go beyond using AI for incremental efficiency gains to create transformative impact? I write from the World Economic Forum (WEF) in Davos, Switzerland, where I’ve been speaking with many CEOs about how to use AI for growth. A recurring theme is that running many experimental, bottom-up AI projects — letting a thousand flowers bloom — has failed to lead to significant payoffs. Instead, bigger gains require workflow redesign: taking a broader, perhaps top-down view of the multiple steps in a process and changing how they work together from end to end.
Consider a bank issuing loans. The workflow consists of several discrete stages:
Marketing -> Application -> Preliminary Approval -> Final Review -> Execution
Suppose each step used to be manual. Preliminary Approval used to require an hour-long human review, but a new agentic system can do this automatically in 10 minutes. Swapping human review for AI review — but keeping everything else the same — gives a minor efficiency gain but isn’t transformative.
Here’s what would be transformative: Instead of applicants waiting a week for a human to review their application, they can get a decision in 10 minutes. When that happens, the loan becomes a more compelling product, and that better customer experience allows lenders to attract more applications and ultimately issue more loans.
However, making this change requires taking a broader business or product perspective, not just a technology perspective. Further, it changes the workflow of loan processing. Switching to offering a “10-minute loan” product would require changing how it is marketed. Applications would need to be digitized and routed more efficiently, and final review and execution would need to be redesigned to handle a larger volume.
Even though AI is applied only to one step, Preliminary Approval, we end up implementing not just a point solution but a broader workflow redesign that transforms the product offering.
At AI Aspire (an advisory firm I co-lead), here’s what we see: Bottom-up innovation matters because the people closest to problems often see solutions first. But scaling such ideas to create transformative impact often requires seeing how AI can transform entire workflows end to end, not just individual steps, and this is where top-down strategic direction and innovation can help.
This year's WEF meeting, as in previous years, has been an energizing event. Among technologists, frequent topics of discussion include Agentic AI (when I coined this term, I was not expecting to see it plastered on billboards and buildings!), Sovereign AI (how nations can control their own access to AI), Talent (the challenging job market for recent graduates, and how to upskill nations), and data-center infrastructure (how to address bottlenecks in energy, talent, GPU chips, and memory). I will address some of these topics in future posts.
Against the backdrop of geopolitical uncertainty, I hope all of us in AI will keep building bridges that connect nations, sharing through open source, and building to benefit all nations and all people.
[Original text: https://t.co/Ck52mNGX4a ]
Unlock the power of data with the BI & AI Maturity Model! It guides organizations from basic reporting to fully autonomous AI-driven decisions. Benchmark your analytics maturity, identify growth areas, and leverage AI for smarter, actionable insights. #BicycleAI#AgenticAnalytics