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BootstrapLabs welcomes Dr. Thomas A. Campbell as Special Advisor

We are very pleased to announce that Dr. Thomas A. Campbell, a recognized analyst and researcher in emerging and disruptive technologies, has joined BootstrapLabs as a Special Advisor.

“I have known Tom for a few years and I am very excited to have him join BootstrapLabs as a special advisor. His deep domain knowledge and expertise is an invaluable resource to our core mission to address some of the hardest technology challenges and opportunities facing our society for years to come.”  Nicolai Wadstrom, Founder and CEO of BootstrapLabs.

Tom is the Founder & President of FutureGrasp, LLC, which advises organizations on trends and implications of emerging technologies. Before that he was the first National Intelligence Officer for Technology (NIO-TECH) with the National Intelligence Council (NIC) in the Office of the Director of National Intelligence (ODNI). Tom established and managed liaison relationships with academia, industry, and others to ensure a comprehensive understanding of technology and its intersection with global military, security, economic, financial and energy issues.

Prior to his government service, Tom was Research Associate Professor and Associate Director for Outreach with the Institute for Critical Technology and Applied Science (ICTAS) at Virginia Tech for over six years. He led corporate outreach and facilitated large, multi-principal investigator (PI) program and proposal developments in interdisciplinary areas.

Tom holds a Ph.D. in Aerospace Engineering Sciences from the University of Colorado at Boulder.

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Announcing the Applied AI Conference 2018

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BootstrapLabs is excited to announce the third annual Applied Artificial Intelligence Conference in San Francisco on April 12, 2018.

After the incredible success of 2017’s Applied AI Conference, we’re excited to share this day with over 800 AI professionals.

Watch the video summary of the Applied AI Conference 2017:

The one day conference brings together the brightest and most experienced professionals in the field of AI for an immersive day of learning, discussion, and connections.

This year we will have extraordinary sessions highlighting the practical applications and current business opportunities for Artificial Intelligence technologies across industries including Cybersecurity, Transportation and Logistics, Future of Work, Financial Technologies (FinTech), Healthcare, and more.

During the conference our expert speakers will showcase all of the concrete ways decision makers across the research, investment, corporate, and startup worlds can prepare, organize, and tap into AI’s transformative power.

The 2018 attendees will walk away with insights into the latest trends in Artificial Intelligence, including emerging technologies that are going to deeply change how we will leverage Artificial Intelligence applications.

 

Check out the sessions from some of our world-class speakers in 2017:

  • Amir Khosrowshahi, CTO AI Products Group, Intel
  • Lanny Cohen, Group Chief Technology Officer, Capgemini
  • Jack Clark, Strategy & Communications Director, OpenAI
  • Richard Socher, Chief Scientist, Salesforce
  • Mårten Mickos, CEO, HackerOne
  • Hema Raghavan, Head of Growth Relevance, LinkedIn
  • Danny Lange, VP of AI and Machine Learning, Unity Technologies
  • Nicolai Wadstrom, CEO and Founder, BootstrapLabs

 

What people say about the Applied AI Conference:

“I wanted to compliment you on your event last week – really outstanding, top to bottom.”

Bryan Barber, VP. at Warner Bros. Studios

“Congrats on a great event. It takes a lot of work to make things look that smooth and easy. You guys put on a good show, and made possible a lot of connections in the community.”

Matt King, CTO at IUNU

“My hearty congratulations on the Applied AI conference last week. It was truly a tour de force of AI. I learned a lot and made many great new connections. Well done, yet again!”

Anonymous, US Government Official

 

An attendees list from the Applied Artificial Intelligence Conference 2017 is available at this link.

The 2018 schedule and speaker list will be announced shortly. You can follow the latest information here.

Don’t forget to take advantage of our very limited super early bird tickets right now (save $1000) and don’t hesitate to contact us if you’re interested in speaking or sponsoring AAI18 at info@bootstraplabs.com.

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Announcing the BootstrapLabs Applied AI Insiders Series: FinTech

BootstrapLabs Applied AI Insiders FinTech

BootstrapLabs is thrilled to announce the BootstrapLabs Applied AI Insiders Series: FinTech.

Event Summary:

  • Date and Time: Mon, December 4, 2017| 5:30 pm to 8:30 pm
  • Location: Google Launchpad Space, 301 Howard Street, San Francisco, California 94105
  • Registration: this event is INVITE ONLY. If you did not receive an invitation you can request one below.

 

 

Event Description

Topic: Fintech: Artificial Intelligence takes on Wall St. and Main St.

The financial sector represents trillions of dollars in annual spending, most of which goes to technology, security, and infrastructure. Yet, the sector is seeing an unprecedented level of VC funding and potential disruption from new (and some already established) startups that are threatening the incumbents on all sides, including retail banking, individual, business, mortgage and auto loans, peer-to-peer payments, portfolio management, savings, bill payments, international wire transfers, and even money itself.

The financial sector is also no stranger to big data, and few industries are as well equipped to benefit from the promises (and suffer from the risk) of Artificial Intelligence.

During our December Applied AI Insiders Series event, we will explore practical ways AI is being applied to deliver new products and services that are faster, cheaper and better, but also share some thoughts on some of the biggest challenges the sector faces with the advances of AI, broader adoption of blockchain technologies, and disintermediation. Read more.

Speakers

Nicolai Wadstrom, Founder, BootstrapLabs

Nicolai Wadstrom, a serial entrepreneur turned parallel entrepreneur as the founder of BootstrapLabs. Nicolai advises all portfolio startups in their day to day operations, connecting founders with industry experts, advisors and investors to increase their likelihood of success, assisting with product design and development, positioning, go-to-market strategy and implementation, partnerships and fundraising.
Nicolai is a frequent speaker, mentor and judge at top Universities and Conferences in the US and Europe on topics such as Entrepreneurship, Innovation, Disruption, Startups and Venture Capital.

Will Summerlin, Founder and CEO, Pinn

Will Summerlin is the Founder and CEO of Pinn, a cybersecurity company with a mission to solve the digital identity crisis. He was previously a founder of Arrive, a software company providing solutions to intelligent transportation providers. He is currently an advisor to Arrive and Story Ventures.

Cathrine Andersen, Co-founder, Roger.ai

After exiting her first company to Cisco in 2014 and helping to jumpstart innovation efforts within AI/ML for this Silicon Valley giant, Cathrine has now co-founded Roger.ai, building the world’s first borderless bill pay and bill lending platform.

Thank You To Our Host and Partner

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Applied Artificial Intelligence Conference 2018 #AAI18

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Autonomous Transportation- Rethinking Security, Infrastructure, and Experience

Announcing the BootstrapLabs Applied AI Insiders Series: Autonomous Transportation

Autonomous Transportation- Rethinking Security, Infrastructure, and Experience

BootstrapLabs is thrilled to announce the BootstrapLabs Applied AI Insiders Series: Autonomous Transportation

Event Summary:

  • Date and Time: Tue, October 3, 2017 | 6:00 pm to 9:00 pm
  • Location: Google Launchpad Space, 301 Howard Street, San Francisco, California 94105
  • Registration: this event is INVITE ONLY. If you did not receive an invitation you can request one below.

 

 

Event Description

Topic: Autonomous Transportation: Rethinking Security, Infrastructure, and Experience

Autonomous transportation goes well beyond cars and includes all modes of powered transport such as motorcycles, buses, trucks, trains, ships, helicopters, planes, and even spacecraft. There are also various degrees of autonomy levels which need to be considered in the context of fluid and frictionless mobility.
Secure and intelligent communication networks, smart sensors, reliable and fast identification, fail safe and redundancy planning must all come together for the dream to become reality and to ensure safety and security. Read more.

Speakers

Ben Levy, Co-Founder, BootstrapLabs

Ben spent the last 20 years in Silicon Valley building and exiting two FinTech startups to Mergent and NASDAQ, investing in disruptive software technologies, and advising CxOs of Fortune 500 Telecom, Media and Technology companies on corporate strategy, financing and M&A.
Ben is a member of the Association for the Advancement of Artificial Intelligence (AAAI), an Ambassador of La FrenchTech, as well as a frequent keynote speaker at industry conferences on innovation, technology investing, entrepreneurship, artificial intelligence, and globalization in the US, Europe, and Asia.

Dr. Allan Steinhardt, Chief Engineer, AEye

Steinhardt was Chief Scientist for DARPA, Chief Scientist at Booz Allen, co-author of a book on adaptive radar, and assistant professor in Electrical Engineering and Applied Mathematics at Cornell University among other experiences.

Tilly Chang, Executive Director of the San Francisco County Transportation Authority

Ms. Chang has also held posts with the World Bank, Metropolitan Transportation Commission, and a
technology startup. She serves on the boards of the California Transportation Foundation, SPUR and
the UC Transportation Centers.

Chad Partridge, CEO of Metamoto, Inc.

Chad is an accomplished executive making his recent mark as an entrepreneur in enterprise software contributing mission critical video, geospatial metadata, and computer vision within unmanned systems markets. His company Metamoto is a startup specializing in scalable simulation for autonomous systems.
Thank You To Our Host and Partner

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Applied Artificial Intelligence Conference 2018 #AAI18

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Applied AI Digest Review 2016

See the most impactful artificial intelligence news of 2016.

Applied AI Digest is a weekly email curated by BootstrapLabs to share the latest insights and innovations happening in the field of Artificial Intelligence.

Please help us to grow the community by forwarding this page to your friends who are interested in learning more about AI.

If you are already a subscriber and would like to help us improving the quality of this newsletter and contact us to collaborate with us, share feedback or propose new ideas.

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Job Automation Predictions from 2016 Silicon Valley Survey

This article was originally published on http://techemergence.com/ and it`s the result of a collaboration between BootstrapLabs and Techemergence.


Job automation predictions from an individual expert typically draw from years of academic research experience, or time “in the trenches” of industry. With growing interest and speculation on the job market of the next decade, we set out to garner a perspective as to what Silicon Valley thinks about the possibilities of automations in various business tasks.

We wanted to know – what work functions have the most potential for near-term automation?

In the infographics and article below, we explore the survey responses from nearly 80 Bay Area investors, founders, and tech folks – on which business functions have the greatest potential for automation today, and in the coming five years ahead.

Together with San Fransisco-based venture firm BootstrapLabs, we designed a simple survey that was handed out during their “Autonomous Corporation” event in November 2016. Below are the responses to this survey, and our interpretations and gleaned ideas:

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Automation Predictions – Current

It is interesting to note all three groups of respondents considered business intelligence to be the business function with the most current automation potential.

Similarly, investors, founders, and “other” respondents were also unanimous in ranking human resources as the business function with the least current automation potential. It seems plausible that job automation in the HR department is less likely than the BI department, and that the predictions of our respondents would reflect this.

A uniform response for “highs” and “lows” was not expected, and seems to signal that there is strong shared sentiment around those two particular business functions.

While there seemed to be relative consensus around business intelligence, human resources, and marketing, other business functions – such as security and finance – didn’t have the same uniform optimism or pessimism across respondent groups.

Automation Predictions – 5 Years Out

It seemed highly unlikely from the outset, but one major trend resounded from the “Current” survey section to the responses in the “5 Year Future” section: Business intelligence again ranked highest amongst all options by all three groups, and human resources again ranked dead last for all three groups as well.

Based on the survey size (78 respondents, about one third investors, one third founders, one third “other”), this is by no means conclusive. There are no “conclusive” predictions in the first place (good startup idea though, someone should work on that). Rather, this seems

Manufacturing stands out as a major outlier from “current” to “5 years out.” Ranked among the lowest areas of current automation, manufacturing jumped ahead to nearly overtake business intelligence for the area of most optimism in the coming five years. It is possible that this is due to the heavier hard-cost investment of industrial manufacturing processes as compared to domains like business intelligence, marketing, of finance – where “automation” never has to reach it’s robot arms into the real world.

It is interesting to note that the current industry trends in funding AI and machine learning doesn’t seem to provide much evidence for heavy investment in manufacturing, so we might presume that the optimism of the investors and founders in the crowd spawned from another source.

Read more at: http://techemergence.com/job-automation-predictions-silicon-valley-survey/

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The Autonomous Corporation presented by BootstrapLabs

Thank you to the Autonomous Corporation attendees!

 

We hope that you found the conference informative and enjoyed the networking during the event.

Seeing all of you hanging out until the end of the event made our team proud of their work and strongly encouraged us to keep working hard evangelizing AI around the world.

 

At BootstrapLabs, we believe that innovation and progress will happen at an accelerated pace in all corners of the globe, and that bringing people together around their shared passion for AI will drive positive impact in our world!

 

As many of you have been asking, we would like to officially announce that we have started working on next year’s Applied AI Conference 2017 (Check out the Applied AI Conference 2016 here) and will soon share more information about date, location and speakers line-up.

 

Below you can find some social media posts about the Autonomous Corporation event:

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AI is going to change everything

We are on the brink of a major disruption, which we think might be bigger than the industrial revolution. At BootstrapLabs we are focusing heavily on a major shift that is impacting almost every sector: Artificial Intelligence – AI.

AI has reached an inflection point, where it can now be applied to quickly drive efficient returns, and in our book, is ripe for building startups that will disrupt major markets and their incumbents.

Why now?

Let’s go back: The Industrial Revolution & Apple

James_Watt_Energy_02During the Industrial Revolution, the steam engine enabled a major technological shift as a large amount of manual labor was now able to be automated. Yet, few know that the first version of the steam engine was actually built the 1st century CE and was called Aeolipile. It was not until much later, in 1712, when Thomas Newcomen developed a commercially viable version of the steam engine that applied to “mechanical work” that serious increases in productivity started to take place. But, this major shift did not reach its full disruptive potential until 1781 when James Watt designed a model that provided a stronger and continuous rotary motion, resulting in an order of magnitude better output/cost ratio and allowed the technology to spread across applications and sectors,  spurring the Industrial Revolution.

As always with technology and its applications, it is a combination of factors that create an inflection point.

The Garages of Silicon Valley: A similar pattern and iterative process emerged in the garages of Silicon Valley, and eventually spawned the likes of Apple, Hewlett Packard, etc. This is a recurring pattern of how innovation emerges. The inflection point is always triggered by a number of factors, not just the main innovation of the steam engine or the silicon-based CPU chips (or COTS components to build a computers for that matter).

The Rear-Mirror Effect: These inflection points are often hard to spot. First there is disbelief, then some excitement. Then the general public tends to be disappointed by the slow(er) pace of adoption vs. their expectations, yet slowly but surely, additional improvements and iterations of the original breakthrough take place, quietly, unnoticed. Even additional breakthroughs building on the prior ones create an unstoppable wave of change that often catches people by surprise and most realize that the inflection point really happened a few year ago, when looking in the rear-mirror (and they are too late to the game).


The rise of Applied Artificial Intelligence (Applied AI)

Today we have reached a similar inflection point with Applied AI and we believe it will have a significant disruption potential on many established industries, and our society at large. Today smart software can process massive amounts of data to derive knowledge and conclusions that humans simply cannot.

AI methods and algorithms are not new, they have been around for quite some time, but there are a number of factors that are creating an inflection point for AI to be applied in a much wider sense, across applications and industry verticals that were not feasible before. Additionally, more recent approaches and methodologies like deep learning have yielded an order of magnitude better results than prior approaches.

Ability to compute, store and transfer data

  • We are buying twice the amount of CPU processing for each $1 every 18 months.
  • We are buying twice the amount of storage for each $1 every 12 months.
  • We are buying twice the amount of communications bandwidth for each $1 every 9 months.

More data recorded in last 18 months than the entire history of mankind

The vast majority of all information ever created by mankind was created, transferred, and stored in the past 18 months alone. There is a massive amount of data (and knowledge/information to be extracted from it), and it is growing exponentially.

DATA EXPLOSION

Multi-dimensional correlations

Also multi-dimensional correlations add a massive opportunity.  Take for example fitness trackers, such as JawBone and FitBit, that are tracking activities like movement and sleep. In just a few years they harvested more research data and conclusions (using machine learning) of how physical exercise and sleep are tied together than any research facility ever had in history (and at a fraction of the cost).

Oh – and they also track where (geographic position) exercise is happening, which adds another dimension to this information.

In another example, one of our portfolio founders is exploring how to connect your emotional state of being with what you read in your social communications channels, event calendar, etc., and have the machine learn and guide you on ways to improve your mental well being.

Cost to build keeps going down

The cost to build startups keeps going down, which is true for building AI at scale too, through hosted infrastructure, cost of hardware and open source software (backed by Google, Facebook, Yahoo!, OpenAI, etc.) AI is being applied right now in garages around the world where startups are being built. The hardware needed today is so commoditized that it is all more or less a software play (which increases the pace of innovation and efficiencies).

This all means that innovation by applying Artificial Intelligence is exploding and happening everywhere, not just in the large R&D labs and research facilities anymore.

It holds the keys to our future

All this data, that can now be stored and computed cost efficiently using smart software (AI), holds answers to everything from optimizing your retirement savings, global economic flux, health, education, and answers of how to mitigate climate change today and tomorrow.

The most exciting things are yet to come, but let me give you a few examples of what is already happening:

  • AngelList uses massive amounts of data and interaction patterns with machine learning to improve matching and interaction in their global network of Angel investors.
  • 23andMe uses machine learning and big data to find, in 20 minutes of compute time, the answers that took the CDC up to 7 years and a $100M study to accomplish.
  • George Hotz, the San Francisco “hacker” known for being the first to unlock the iPhone, has built a self-driving car in a month, using mostly off the shelf components, and using deep learning methodologies, resulting in potential self-installation kits costing less than $1,000 a pop.
  • JawBone has conducted the biggest sleep study in history (no company or research organization has had access to that much sleep data before).

As with building any startup today, the hardest thing is Scalable Product Market Fit, which is also why it is so hard for incumbents to tackle the innovation that comes out of startups (Innovators Dilemma).

The large and well funded R&D organizations are still good at cracking hard innovation with long time frames, often called “Moon Shots”, but much less so for finding new Scalable Product Market Fit. This is where startup innovation shines, and when the off the shelf components can be assembled quickly, innovation flourishes.

There is an unbundling of the big corporations, and we think that the key disruption driver for the winners is going to be their ability to apply Artificial Intelligence, and build better, more efficient products that scale.

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So what are we doing about it at BootstrapLabs?

We are, of course, focusing our entire Venture Building platform toward  the discovery of the best Applied AI innovation globally, and empowering the founders behind them to build globally disruptive companies from Silicon Valley.

We are vetting over a thousand startups per a year from Silicon Valley, Europe, and Asia, and are seeing some very exciting innovators (which you will read more about soon!) who are applying AI such as machine learning, image recognition, and deep learning.

Our upcoming seed fund will invest in Applied AI software startups with a focus on FinTech, IoT, and Future of Work verticals (with the ability to expand into areas like logistic, education, commerce, eHealth, etc.)

Why Invest in Artificial Intelligence now?

 

We are also bringing together the global AI community of hackers and builders at hackers.ai and hosting the biggest Applied AI focused conference in Silicon Valley on May 25th.

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Learn more about the Applied AI Conference 2017.

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BootstrapLabs: Venture Builders in Silicon Valley with a Global Community

When we founded BootstrapLabs eight years ago, we set out to create a company that would empower some of the world’s best technology entrepreneurs to build disruptive companies from Silicon Valley.

In our quest to build an efficient and scalable process to empower entrepreneurs, we transformed BootstrapLabs into a world class Venture Builder platform and brought together 3 critical elements for the success of any entrepreneurial endeavor:

  • Human Capital: Beyond access to our Core team, Global Venture Partners, and Experts in Residence, we have created BootstrapWorks, a proprietary platform that allows founders to find, vet, and compensate top advisors and experts in Silicon Valley and beyond, while removing the friction of contracts, vetting, etc.
  • Venture Capital: Because entrepreneurs need fuel to accelerate the growth of their ventures, we invest in our portfolio companies from our investment funds at the Seed and early Series A round stages. We have also built a great network of top-tier Silicon Valley co-investors and follow-on investors for our companies.
  • Global Community: Over the years, we have nurtured and grown a large and international community of like-minded entrepreneurs, investors, and executives that further reinforce our platform and deal flow.

BootstrapLabs recognizes that talented entrepreneurs have many choices when it comes to accessing capital, but money is only the tip of the iceberg. Experienced founders know that the human capital part of the equation is often the difference between breakout success and failure. For this reason, we strive to provide founders with a bespoke combination of capital, skills, experience, and network, a place were the world’s best founders WANT to come build and iterate their startups to scalable product market fit and success.

 

If this sounds exciting, get in touch, and come make a dent in the Universe with us.