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EmpowHER in AI Summit is back, hosting a curated global summit designed to amplify the voices of women leading the artificial intelligence revolution. The event is powered by Times of AI, bringing together women leaders in AI, founders, investors, operators, and innovators for a historical day of meaningful conversations, strategic networking, and ecosystem building.
As innovation marches ahead at every level and across industries, women remain underrepresented in decision-making roles across AI startups, research, investment, and enterprise leadership. EmpowHER in AI is built to address this gap by creating a platform for women to connect, collaborate, and lead the next phase of AI growth.
Unlike most of the other meetings, which are simply stage-based sessions or one-off shows, “EmpowHER in AI” is a community-first experience. Participants concentrate on high-value engagement through panel discussions, networking, fireside chats, and founder-investor interactions.
The format is purposefully designed to maintain authentic dialogue and actionable insights for people operating in the broader AI ecosystem.
Session panels will include panel discussions led by female leaders and experts across AI, technology, venture capital, blockchain, and digital innovation. The sessions will address leadership, innovation, product development, fundraising, market expansion, and the changing role of AI in business and society.
Networking is as important as ever to the experience. These opportunities lead to direct meetings with founders, venture capitalists, ecosystem builders, and operators to partner, mentor, and collaborate. The event will be a targeted environment to build valuable relationships with early-stage startups to scale products or explore AI investment opportunities.
From Singapore and Abu Dhabi to the glitz of Dubai, the EmpowHER in AI movement is officially going global, one city at a time.
EmpowHER in AI has already hosted a strong lineup of global speakers across previous editions, reinforcing its credibility as a growing platform for women in technology and AI. Past speakers include Chada El Islam Benmahcene, Founder and CEO of ENTROGX Ventures; Anna Macmillan, Founder and COO of WiiN and Mintlayer; Lianna Adams, Founder of Impactful Artistry; and Irina Karagyaur, Founder of Creators4Impact and creator of The Business Case for AI & Blockchain.
The speaker lineup has also featured accomplished leaders such as Tasneem Taherali, Advisor for Tech Startups and Scale-ups, Marketing Director for Women in Tech UAE, and Ambassador for Product Marketing Alliance UAE; Fatiha Chikh, Co-founder of LeLab Plus; Shyla Khan, Chief Marketing Officer at Yellow; and Sandy Carter, Chief Business Officer at Unstoppable Domains.
Additional notable speakers include Una Wang, Founder and CEO of Lingo AI; Wan Wei Soh, CEO and Founder of AI Visionary Society; and Joewin Tan, CEO of Quant Consulting Group. Their esteemed presence is a testament to the event’s strong focus on leadership, innovation, and building cross-border connections in AI and emerging technologies.
EmpowHER in AI is built for a global but purposeful audience. Women founders behind AI startups will find opportunities to connect with investors and ecosystem leaders. AI professionals and operators come together with peers and industry experts. Investors share the stage with founders, products, and early-stage innovation.
The event also welcomes startup participants and innovators to explore intersections between AI, Web3, and digital infrastructure. As AI emerges as an intrinsic tool for industries like healthcare, finance, education, media, and enterprise technology, inclusive leadership is increasingly a strategic imperative.
Different perspectives lead to stronger products, more thoughtful systems, and global adoption. EmpowHER in AI as a platform helps participants foster conversations that build real pathways for growth.
Backed by Times of AI, a global media platform covering AI innovation and ecosystem developments, EmpowHER in AI benefits from strong industry visibility and ecosystem support. This support strengthens the initiative’s reach and helps build a long-term global network of women leaders and innovators in AI.
EmpowHER in AI is more than a one-time event. This is your pivotal gateway into an elite international collective fueled by collaboration, visionary leadership, and AI breakthroughs.
Claim your seat and join the women-led movement shaping the future of AI.
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EmpowHER in AI is shaping up into a global movement focused on women in artificial intelligence leadership. Powered by Times of AI, the initiative brings together women founders, investors, and operators who are actively shaping the next phase of AI.
Unfortunately, even as technology expands across industries, leadership gaps regarding ‘gender’ remain visible. EmpowHER in AI addresses this imbalance by creating a structured platform for inclusion, visibility, and influence.
The fast-paced scaling of the AI industry comes with concentrated leadership problems. Women are still underrepresented in decision-making roles across research, funding, and product development in the AI industry.
This shortcoming has a direct impact on the way systems are designed and put into operation. EmpowHER in AI considers diversity to be at the core of responsible innovation. The program emphasizes inclusion, fairness, equity, and leadership as foundational pillars for long-term progress.
EmpowHER in AI is community-first. It is constructed to cultivate relationships that go beyond a single event. The platform connects women founders, investors, operators, and innovators in a shared ecosystem. It lays a creative space for collaboration, knowledge exchange, and long-term alignment. Its features prioritize community-driven engagement over traditional panels.
Conversations go far beyond the stage and develop through direct interaction. The strategy behind the event is highlighted within the event format. This includes structured panel discussions with women leaders in AI and emerging technologies.
Networking sessions are structured to enable direct engagement between participants. Founder and investor interactions create avenues for funding and collaboration.
Fireside chats and open discussions add depth by allowing speakers to share real experiences from their journeys. Active engagement defines the structure of the event, supports both learning and connection.
Attendees can expect networking and collaboration opportunities with women VCs and AI founders.
The core value of EmpowHER in AI lies in its approach to ecosystem building. The program aspires to be a long-term platform rather than a one-time gathering.
It supports a space where women can contribute, lead, and influence conversations in AI. The focus remains on real dialogue and practical insight. This creates an environment where participation leads to measurable outcomes, including partnerships, mentorship, and visibility.
With support from Times of AI, the platform can extend its reach to a broader network of industry leaders, founders, and institutions working in AI. EmpowHER in AI is already spreading in parts of the world such as Singapore, Abu Dhabi, and Dubai.
With a presence in global hubs, it has made it a prominent networking platform in the AI ecosystem. It continues to attract investors, founders, and enterprise leaders. This growing participation highlights the demand for focused spaces where women can engage at a leadership level.
The mission is very clear. EmpowHER in AI plans to ensure diverse voices shape the development of artificial intelligence. Its vision is to support women as leaders, builders, and contributors in AI at a global scale. The movement is building on and broadening participation from across the ecosystem.
For more information, check out the offiicial website: https://www.empowherinai.com/
EmpowHER in AI is not just an event, it’s a growing global movement redefining inclusive leadership in artificial intelligence.
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Not every AI event is built for builders.
The Algorithm Alliance is designed specifically for those who don’t just talk about AI – but actively build, experiment, and push the boundaries of algorithms and data science. It’s a community-led gathering that brings together machine learning engineers, data scientists, researchers, and founders into one collaborative environment.
Rather than traditional stage-heavy formats, this experience is structured around interaction, contribution, and problem-solving, creating a space where ideas are tested, challenged, and refined in real time.
Event Snapshot
Date: 6th OctoberVenue: SingaporeFormat: In-person, collaborative sessions + networkingPowered By: Marketing Ninja AI
What Makes This Different
This isn’t a passive conference—it’s a working room for AI minds.
Expect formats such as:
Open-mic style idea sharing (participants contribute, not just listen)Deep-dive discussions on real-world AI challengesPeer-level conversations between builders and researchersCollaborative problem-solving instead of one-way presentations
The structure is intentionally designed so that every attendee has a voice, encouraging contribution from both experienced professionals and emerging builders.
Table of Contents
Core ThemesWho You’ll MeetWhy It Stands Out
Core Themes
Applied AI & real-world use casesAlgorithm design and optimizationData science experimentationModel deployment & scalabilityCollaborative innovation in AI ecosystems
Who You’ll Meet
AI engineers and data scientists building production modelsStartup founders working on AI-driven productsIndependent builders and technical creatorsResearchers exploring next-gen algorithmsTech leaders focused on applied AI strategies
The community is intentionally diverse but deeply technical at its core.
Why It Stands Out
Most events showcase ideas.
The Algorithm Alliance is built to exchange, test, and evolve them.
It creates an environment where:
Conversations go beyond surface-level insightsBuilders collaborate instead of just networkIdeas move closer to real implementation
Participants don’t just attend – they actively shape the experience and outcomes.
Who Should Join
Builders who want hands-on discussions, not just talksAI professionals looking for peer-level exchangeFounders seeking technical collaborationAnyone interested in contributing to real AI problem-solving
The Algorithm Alliance is less about presentations and more about participation—bringing together people who are actively shaping the future of AI, one algorithm at a time.
Join the builders’ circle in Singapore this October and be part of a collaborative AI movement.
#AlgorithmAllianceSingapore #SingaporeCryptoTrend #Singaporeevents #Token2049Singapore #sideevents

Bitcoin bottom- On Aura8 Episode 81, Vaibhavv Ali brought Michael Terpin back for a weekly tape read. The shirt on camera looked like spring. The call was winter.
Terpin’s frame has not changed: Bitcoin spring starts at a halving, or at a new all-time high before the next one. Neither has arrived. What has arrived, in his view, is the slow grind that follows a finished bear — the phase he has called Bitcoin winter since he first wrote the four-seasons model in 2015.
Table of Contents
Why July 1 is the date he usesFebruary and November were not capitulationThe 200-week moving average still mattersThe metrics that did not printThe white swan that pulled the low forwardInstitutions influence. They do not own the float.Four seasons, then the supercycleKey takeaways
Terpin now assigns about an 80 percent probability that the cycle low printed on 1 July near $57,100. That is a step up from the two-thirds call he made after the first violent bounce, and a reversal of the 60 percent “lower still” case he held while price sat under the 200-week moving average. He is not calling a melt-up. He is calling the start of the slow road back to the next all-time high.
Why July 1 is the date he uses
He separates the lowest close from the lowest print. June produced the close. July 1 produced the wick — “fifty-seven thousand one hundred,” in his recounting.
That is how he scores prior crashes as well. The COVID low is the wick near $3,000, not the close. Cycle historians who only mark daily closes will argue with him. He is not scoring closes.
The June–July structure mattered because it behaved like prior terminal legs: a break that does not snap back 10 percent the next session, then days of dead tape. “When capitulation happens, it just sits there and lays there for a couple of weeks. And that’s what happened in June.”
February and November were not capitulation
Ali’s audience had already heard the premature “bear is over” calls. Terpin lined them up.
A drop from roughly $126,000 toward $80,000 last November was violent and short. Six or seven weeks is not a bear market.February produced another air pocket and an immediate rebound — about 10 percent the next day, in his telling. “That never happens in capitulation.”Michael Saylor and others calling the bear done in February after four months “did not seem rational.”
The June low was the first candidate that stayed down long enough to count.
The 200-week moving average still matters
Four of four prior cycle bottoms, Terpin said, printed below the 200-week moving average. February never got there. The average itself had also migrated: under $60,000 in February, above $60,000 by June. Price had to do more work the second time.
Being under that line is what let him say the market was in the final phase of the bear even while he still assigned only a 40 percent chance that the low was in. The other 60 percent was time and unfinished on-chain work.
The metrics that did not print
He is explicit about what usually tags a bottom and did not fully tag this one:
Balanced price near $53,000 — the level he expected on a last flush.Realized price in the low $40,000s.Coin-days destroyed / coin-value-days clustering around $43,000–$45,000.
Those misses are why the early call was 40/60 against a finished low, and why a year-long bear — “a year to the day” on the last two cycles — still looked like the base case. The low arriving early surprised him. He now thinks the surprise has an explanation.
The white swan that pulled the low forward
The missing flush, he argues, got canceled by policy, not by a new holder class magically ending volatility.
He was at the SALT gathering in Jackson Hole when the tape turned. A presidential crypto summit that week did what earlier “I’m the Bitcoin president” appearances did not: it arrived next to three coordinated catalysts that “very rapidly move[d] the price up.”
The one he spent time on was the joint CFTC–SEC direction toward Reg Crypto — a policy wrapper he compared to Reg D, Reg A, and Reg CF, aimed at token sales. Sixty days of comment. Not a statute. If it holds, Terpin’s read is a regulated U.S. reopening of what the industry used to call the ICO market, under SEC and CFTC oversight.
He contrasts that with 10 October-style black swans that force tops early. This was the inverse: good news arriving while the market was already in the terminal zone under the 200-week average. Bad news in that same zone, he said, could still have taken price “considerably lower.” The white swan is why the 40 percent case won.
Institutions influence. They do not own the float.
The “never going down again, it’s all institutions now” line is the one he keeps punching.
ETFs, on his numbers, are still about 7 percent of supply. Strategy / Saylor is “pushing up toward 5 percent.” Long-term holders — the 155-day cut he does not love but uses — remain individuals who bought at $1,000, $5,000, $10,000, even $50,000 more than a year ago.
What institutions did do is break some on-chain thermometers. ETF creations, redemptions, and OTC flow sit off-chain. Coin-days destroyed, built for visible movement, now under-counts. That is his cleanest reason the $43,000–$53,000 cluster never had to print.
Influence is not ownership. The float is still the old whales.
Four seasons, then the supercycle
The rest of the hour is the book tour with a model attached.
Bitcoin Supercycle (Simon & Schuster / Amazon; site: bitcoinsupercycle.ai) is the title his publisher preferred. The working title was Four Seasons of Bitcoin:
Spring — post-halving grind, or a new high before the cut.Summer — the vertical.Fall — the bubble breaks.Winter — the slow climb to the next spring. This is the box he puts the market in now.
The underlying identity is Satoshi’s: if new demand exceeds new issuance, price rises. His halving markers: $12, $670, $8,700, $64,000. Next cut, higher, if demand still clears a shrinking float.
He is impatient with the “issuance is now so small it does not matter” shrug. The comparison is not last cycle’s issuance. It is next cycle’s demand. Annual inflation after the next halving, in his arithmetic, is about 0.44 percent — roughly 1.5 percent over four years. He does not believe 2028–2032 fails to clear that bar.
Diminishing-return models (100x, then 30x, then 8x, then 2x) never reach $1 million. The thing that breaks the flattening, in the book, is the S-curve / crossing-the-chasm jump: ETFs and public vehicles like Strategy as the early mainstream, after the hardware-wallet generation already did the ugly work. That is the supercycle overlay on top of the seasons.
He closed with Tokenize Conference (tokenizeconference.com) and the usual invitation. Ali closed with the OG debt: without the first cohort, Schwab-ticket Bitcoin takes another decade.
Key takeaways
Terpin: ~80% that 1 July ~$57.1K was the cycle low.Season: Bitcoin winter, not spring. Spring needs a halving or a new ATH.June–July looked like capitulation. February and November did not.Four of four prior lows printed under the 200-week moving average.Balanced price, realized price, and CVDD did not fully tag. ETF/OTC flow is his explanation.ETFs ~7% of supply. Institutions bend the tape. They do not hold the majority.A policy white swan (Reg Crypto direction plus the summit week) is why the low arrived early.Model remains four seasons + supercycle. Book: Bitcoin Supercycle. Event: Tokenize Conference.
Source: Aura8 Episode 81, Vaibhavv Ali with Michael Terpin. Levels and probabilities are the guest’s, stated on air. Not investment advice.
#MichaelTerpin #Aura8 #cryptoniteuae #VaibhavvAli #Bitcoin $BTC