Tom Tunguz

JANUARY 21, 2017

2016 was the year of machine learning. In this rare case, I think hype is masking quite a bit of true technical innovation. During last quarter of 2016, machine learning research has made huge strides. These innovations aren’t limited to the lab. Mobile-first. I don’t think so.

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Artificial Intelligence Machine Learning Mobile Advertising 100

Tom Tunguz

MARCH 1, 2021

Let’s talk about the innovation and then the implications. The second feedback loop outputs data products and insights that are then fed into the data warehouse layer for downstream consumption, perhaps in the form of dashboards in SaaS applications or machine learning models and associated metadata.

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Sales Hacker

MARCH 18, 2020

Informed and actionable business decisions now happen easily, thanks to artificial intelligence (AI) and machine learning (ML). A recent study by Harvard Business Review shows that sales teams that adopt AI and machine learning are seeing: 50% increase in leads and appointments. AI and Machine Learning: What Do They Mean?

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Sales Hacker

FEBRUARY 1, 2022

Today’s guest, Joshua Thomas , VP of External Communications at Flock Safety , talks with us about how machine learning can reduce human biases and provide ethical, actionable evidence to police in crimes with cars involved. The ins and outs of ethical machine learning. A fascinating and timely conversation!

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Tom Tunguz

MARCH 11, 2013

I believe machine learning will drive the next big wave of innovation in consumer web services. For machine learning to create magic the the technology requires large amounts of data, the infrastructure to process the data and the algorithms to extract learning.

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Payrix

NOVEMBER 7, 2024

Recently, we deployed an in-house machine learning model that predicts the likelihood of ACH payment rejections. Such innovations save time and mitigate potential losses for our software partners and their users. Ryan’s key takeaway: Risk and innovation aren’t opposites, in fact, they can work together. compliance.

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Tom Tunguz

JULY 14, 2024

Machine learning advances tend to evolve in bursts. In search, last mover advantage (Google) won because they benefitted from the learnings of all who came before. AI is characterized by waves of innovation & sudden change, a tecnological punctuated equilibrium.

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User Pilot

DECEMBER 20, 2023

Machine learning is a trending topic that has exploded in interest recently. Coupled closely together with Machine Learning is customer data. Combining customer data & machine learning unlocks the power of big data. What is machine learning?

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Tom Tunguz

JUNE 9, 2016

Which are the ripest areas for startups to disrupt using machine learning? At the core, machine learning/artificial intelligence relies on two key ingredients: advanced algorithms and data sets to train those algorithms. It’s not that we won’t see innovation in the consumer world.

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SaaStr

SEPTEMBER 22, 2020

2: Next, AI and machine learning came along and every single business executive ever wanted to digitally transform into a machine learning company. 2 When web happened, a lot of innovation was necessary. Eifrem even believes, “Data is the new oil”. #2: Architectures were once monolithic.

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Tom Tunguz

FEBRUARY 1, 2023

Incumbents have lept onto advances in generative machine learning more aggressively than any trend in recent technology history. As startups incorporate generative machine learning into their products or develop new products, understanding the competitive dynamic with incumbents will be more important than before.

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Tom Tunguz

MAY 19, 2018

Technology innovations swing to a pendulum’s cadence. Sometimes innovations begin with infrastructure changes and reverberate up the stack. Other times, front-end engineers innovate at the application layer, which demand downstream changes in the infrastructure to scale. When will we see rapid speciation?

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SaaStr

JUNE 14, 2023

Join us as we uncover lessons from UiPath’s success in creating a new category within RPA Enterprise Automation – Robotic Process Automation – while navigating the challenges inherent in digital transformation powered by artificial intelligence and machine learning technologies.

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Tom Tunguz

MAY 15, 2023

The pace of innovation in the field clouds the answer. the company would prefer to rely on external experts to drive innovation within the models. the company has no plan/interest to staff a team to manage AI infrastructure or develop deep machine learning experience / expertise in-house. When to choose a small model?

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Tom Tunguz

MARCH 26, 2019

In early and developing markets, selling complete products is often a superior go to market strategy, rather than selling an innovation in a layer in the stack. Imagine you have just written machine learning model that prices stocks better than anything else in the market. This is true for five reasons. Everything is brand-new.

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Tom Tunguz

DECEMBER 28, 2021

GTP-3 and BERT are massive machine learning systems called neural nets. Consequently, data innovators will continue to push AutoML and SQL to query ML models to the technically analytical. Regardless of these predictions, the pace of innovation and the breadth of advancement spellbinds me. This idea is more controversial.

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Tom Tunguz

NOVEMBER 8, 2023

Whether it’s data being used inside applications, feeding machine learning models, or downstream analysis, companies are increasingly reliant on this data, and that’s not changing. Executive teams and boards are demanding innovation with LLMs and data. 80% of data is unstructured within organizations.

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Sales Hacker

FEBRUARY 7, 2025

Early customers are often innovators and tech enthusiasts willing to try new solutions, even if the product is incomplete or buggy. Companies at this stage must demonstrate that their product is not only innovative but also reliable and capable of delivering tangible value to a broader audience.

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Tom Tunguz

SEPTEMBER 11, 2014

The first manifestation of large scale, near-free compute I’ve seen is in machine learning. When I worked at Google in 2005, we would test individual machine learning models one or two at a time.

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Tom Tunguz

DECEMBER 16, 2020

Database startups, data movement startups, data quality startups, data lineage startups, machine learning startups will be the zeitgeist of the decade as they shape the next wave of massive innovation. The 2020s will be the era of data companies boosting massive markets. M&As and IPOs continue at torrid rates.

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Tom Tunguz

APRIL 14, 2019

Since writing The AI Agency: A Novel GTM for Machine Learning Startups , I’ve been meeting many companies who operate this way. These startups use machine learning to disrupt an industry traditionally dominated by agencies: law, accounting, recruiting, translation, debt collection, marketing…the list is long.

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Tom Tunguz

NOVEMBER 17, 2022

Machine learning has become table stakes for modern software companies - users expect apps to anticipate their needs & businesses rely on it for competitive advantage. Web3 is just beginning to blossom, creating new distribution channels that will power another wave of innovation.

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Tom Tunguz

JANUARY 3, 2018

Machine learning fades as a buzzword. ” Just as those trends have become ubiquitous to be implicit, so will machine learning. Founders will look to apply the innovation of a distributed and decentralized-trust database in different parts of the ecosystem. ” Or five years ago, “I invest in mobile.”

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Intercom, Inc.

MAY 20, 2021

When we released Resolution Bot early last year, we recorded this fascinating conversation between our co-founder Ciaran Lee and our Director of Machine Learning, Fergal Reid. It’s a great peek behind the scenes of how we think about using machine learning in a practical way that truly benefits our users.

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Machine Learning Artificial Intelligence Innovation Interviewing 211

Tom Tunguz

JANUARY 14, 2021

Cloud data lakes are a key technology enabling the innovation in analytics and machine learning. Plus, leaders from Microsoft PowerBI, Apache Iceberg, Amundsen, Monte Carlo and many others will share their views on the advances they’re seeing in cloud data lakes and the software that’s being built around them.

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Scytale

MARCH 12, 2025

As the UKs tech startup ecosystem continues to thrive, visionary founders are driving innovation across various industries, shaping the future of technology , finance , healthcare , and beyond. Rishi Khosla Rishi Khosla is a seasoned entrepreneur and investor, and is truly dedicated to innovation.

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Tom Tunguz

SEPTEMBER 12, 2013

The pace and breadth of innovation in databases is accelerating. These database innovations will create new opportunities for startups for years to come both in the form of new infrastructure and new applications that take advantage of these new database capabilities. Each cycle enables more data to be processed, faster.

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Tom Tunguz

JUNE 25, 2017

In the Wide Lens , Dartmouth Entrepreneurship professor Ron Adner explores the risks associated with innovation. Then there’s co-innovation risk, what might be called chained technology risk. ” Adoption Chain Risk applies the idea of a supply chain to innovation. Execution risk is the obvious one.

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Tom Tunguz

FEBRUARY 6, 2017

Advances in machine learning are transforming the software world. Two of the most exciting applications of machine learning are speech recognition and natural language processing. Most of these blog posts are dictated; same for my emails; and most of Winning with Data.

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Tom Tunguz

OCTOBER 21, 2017

Machine learning, broad consolidation, category creation, and new distribution models each will change the SaaS ecosystem in fundamental ways. Hawking a SaaS version of a client/server software has been played out, and many buyers will be approached by a collection of competitors with seemingly indistinguishable offerings.

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Andreessen Horowitz

MARCH 23, 2022

Over a decade after the idea of “big data” was first born, data continues to be one of the most important and furiously growing innovation drivers across both large enterprises and new startups. The post Data50: The World’s Top Data Startups appeared first on Future.

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SaaStr

OCTOBER 26, 2023

The great part about having a couple of thousand startups using your product every day is there is so much innovation. As founders, we want to make categories and innovate, but it’s usually better to do it in a bucket. Greenhouse is combating this with a patent on a new machine learning-based resume parser to increase accuracy.

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Intercom, Inc.

JULY 15, 2021

took over the company in 1952 and decided to make his mark through modern design, they’ve become the single largest design organization in the world, with over 1500 designers working in innovative products from machine learning to cloud to file sharing. Innovating through design. Since Thomas Watson Jr. Arin: Yes, indeed.

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Intercom, Inc.

FEBRUARY 28, 2018

We are laser focused on driving breakthrough innovations which help our customers grow their businesses efficiently. There is world-class consumer tech talent in SF and this will help us continue to grow and innovate at a faster and faster pace. Our corporate headquarters and the majority of our business team is in SF. Interested?

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Tom Tunguz

DECEMBER 18, 2019

The ecosystem continues to innovate but the second killer app (currency being the first), hasn't yet been found. Look no further than AWS Re:Invent where Amazon announced an entire suite of Machine Learning tools that compete with nearly every player in the ecosystem in every level of the stack.

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SaaStr

NOVEMBER 8, 2022

Some employees only require a few short hours of training, while others may require days or even months, especially where tech boot camps are involved for job functions like software engineering, data science, and machine learning. . Stage 3: Employee Development. Growth is always a work in progress, even for leaders.

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The Angel VC

AUGUST 26, 2015

The next wave of enterprise software will likely be powered by machine learning (check out this TechCrunch post for a good primer) and continued consumerization ( and in some cases, new hardware ). These and other innovations will allow SaaS applications to get even wider adoption and to provide even more value to its customers.

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