TechCrunch

FEBRUARY 28, 2023

” In a TC+ post aimed at ML team managers, he shares tactics for leveraging active learning and addresses the perennial buy-versus-build dilemma. Selected applicants will have a chance to lead a roundtable discussion or participate in a breakout session followed by an audience Q&A.

VC 85

VC disruption strategy communities 85

A VC: Musings of a VC in NYC

JANUARY 9, 2024

Tom told me that academic institutions do not have access to the kind of AI/ML infrastructure that the top tech companies have and he wanted to fix that. Cutting-edge AI/ML research should not be limited to large tech companies. Tom is a convincing person. I am excited to see New York State step up like this.

economic development 192

economic development development opportunity support 192

A VC: Musings of a VC in NYC

FEBRUARY 7, 2023

Zietview does aerial inspections of buildings, renewable energy infrastructure, and telecommunications systems using advanced AI/ML software. Over time, the company has adopted many techniques to acquire the imagery that they use to do the AI/ML inspections. It is a high-growth business that just raised a $50mm late-stage round.

mix-use 201

mix-use energy opportunity investing 201

TechCrunch

NOVEMBER 18, 2021

Today, enterprises are in a similar phase of trying out and accepting machine learning (ML) in their production environments, and one of the accelerating factors behind this change is MLOps. Similar to cloud-native startups, many startups today are ML native and offer differentiated products to their customers.

accelerator 137

accelerator collaboration enablement ventures 137

TechCrunch

FEBRUARY 25, 2021

Accounting isn’t a topic that most people can get excited about — probably not even most accountants. But if you’re running any kind of business, there’s just no way around it.

ventures 83

ventures accelerator capital investing 83

TechCrunch

JANUARY 5, 2022

However, today’s startups need to reconsider the MVP model as artificial intelligence (AI) and machine learning (ML) become ubiquitous in tech products and the market grows increasingly conscious of the ethical implications of AI augmenting or replacing humans in the decision-making process.

startup 141

startup frameworks board culture 141

TechCrunch

APRIL 12, 2022

Union.ai , a startup emerging from stealth with a commercial version of the open source AI orchestration platform Flyte, today announced that it raised $10 million in a round contributed by NEA and “select” angel investors.

development 81

development financing finance communities 81

TechCrunch

MAY 9, 2022

Developers can create, discover and collaborate on ML models, datasets and ML apps. Essentially, Hugging Face is building the GitHub of machine learning. It’s a community-driven platform with a ton of repositories.

collaboration 125

collaboration communities development capital 125

Y Combinator

DECEMBER 7, 2023

p.s. For those founders who are doing ML and need GPU resources for training ML models, in addition to YC’s standard deal investment of $500,000, we’ve put together new deals worth over $1,000,000+ that can be used to access GPU compute resources with Microsoft Azure and AWS.

founder 139

founder startup investing investment 139

TechCrunch

MARCH 1, 2023

. “Despite our unique journeys, we shared similar challenges with building ML pipelines, which led each of us to the realization that if designed correctly, ML could equip companies with a powerful solution to dramatically enhance business goals,” said Lev.

collaboration 97

collaboration enablement ventures founder 97

A VC: Musings of a VC in NYC

JANUARY 9, 2023

I understand that reaction and mentioned the issues that AI/ML create for educators in a post a few weeks ago. I read last week that the NYC Department of Education has banned ChatGPT from its networks and devices.

education 265

education networking technology founder 265

American Entrepreneurship

MAY 9, 2023

The funds will be used to expand its workforce and enhance the platform’s functionality so it is capable of handling additional machine learning (ML) tasks. As ML becomes more popular and more accessible, it’s critical we put the right guardrails in place for models entering the real world. “As

consulting 52

consulting VC entrepreneurship enablement 52

TechCrunch

JANUARY 9, 2023

AI and ML tech adoption will rise. Every organization wants to harness the many and varied capabilities of AI and ML technology. Currently, many AI and ML models require extensive testing and training before they can be implemented at scale across large organizations hosting petabytes of data or serving wide customer bases.

communities 104

communities technology investing investment 104

Tomasz Tunguz

DECEMBER 28, 2021

The ML stack folds into the classic data stack. The vast majority of ML users prefer simplicity and speed to customization and control. Consequently, data innovators will continue to push AutoML and SQL to query ML models to the technically analytical. This idea is more controversial. These stacks will begin a convergence.

accelerator 106

accelerator innovation SaaS collaboration 106

TechCrunch

APRIL 13, 2021

What’s happening on the startup side of the coin in the artificial intelligence and machine learning (AI/ML) space? This morning, we’ll start with a look into recent venture capital activity in the AI/ML market and its historical context. In light of the mega-deal , The Exchange dug into the AI venture capital market. billion.

venture capital 119

venture capital capital ventures technology 119

TechCrunch

NOVEMBER 17, 2020

More accurately, Seldon is a cloud-agnostic machine learning (ML) deployment specialist which works in partnership with industry leaders such as Google, Red Hat, IBM and Amazon Web Services. The startup says its customers are getting productivity gains of as much as 92% as a result of utilizing Seldon’s product portfolio. .”

innovation 104

innovation capital accelerator leadership 104

American Entrepreneurship

MAY 11, 2023

The system’s software and avionics are strengthened by BlueHalo’s superior artificial intelligence (AI) and machine learning (ML) technologies–providing unmatched autonomy, communications systems, and swarm logic capabilities.

innovation 98

innovation peer-to-peer collaboration entrepreneurship 98

TechCrunch

OCTOBER 13, 2021

ML in a suit. ML, or machine learning, is a big market today. Evidence of the former can be found in the growth posted by Databricks in recent quarters, and the latter by just how much cash Big Tech companies are willing to drop on ML-focused roles. I apologize for the mistake! What do you call AI these days?

development 98

development startup investing investment 98

TechCrunch

APRIL 4, 2023

AWS will not invest in startups and does not yet have an AI/ML investment arm. Generative AI, says Rob Ferguson, AWS’ Global Head of AI/ML Startups, has unlocked new developments and creativity. There’s also a Demo Day in San Francisco at the end of the program. As for why now, isn’t it obvious?

startup 88

startup accelerator creativity advice 88

TechCrunch

APRIL 13, 2021

One of the issues with deploying a machine learning application is that it tends to be expensive and highly compute intensive. Deeplite , a startup based in Montreal, wants to change that by providing a way to reduce the overall size of the model, allowing it to run on hardware with far fewer resources.

incubation 69

incubation networking venture capital capital 69

TechCrunch

FEBRUARY 23, 2022

Since then, the team has widened its net a bit to become more of a full-stack ML monitoring platform. The mission to become a more full-stack ML observability platform seems to be resonating with customers. When the service launched last year, its focus was squarely on being an observability platform.

ventures 97

ventures founder startup development 97

TechCrunch

NOVEMBER 1, 2021

The company says its users, which feature a number of Global 100 companies, including Toyota, are seeing a 2-10x improvement in their ML model performance after using its service. OctoML raises $15M to make optimizing ML models easier. ” OctoML raises $28M Series B for its machine learning acceleration platform.

accelerator 107

accelerator SaaS energy frameworks 107

TechCrunch

APRIL 27, 2021

Getting actionable business information into the hands of users who need it has always been a challenge. If you have to wait for experts to help you find the answers, chances are you’re going to be too late. Enter Tellius , an early stage startup building a solution to help business users find the information they need when they need it.

enablement 85

enablement capital ventures technology 85

Andreessen Horowitz

APRIL 19, 2024

Jennifer joined us 6 years ago as an investment partner, transitioning from a long-time operating role running product teams, and building developer tools, and ML applications. Jennifer Li is being promoted to GP where she will continue to invest broadly within the enterprise space, focusing on infrastructure and horizontal SaaS.

culture 105

culture SaaS board investing 105

TechCrunch

MARCH 17, 2021

Training ML models can quickly become costly and any service that can speed up that process leads to direct savings for its users — which in turn makes OctoML an easier sell. “They have the vision, the talent and the technology to drive ML transformation across every major enterprise.

accelerator 100

accelerator frameworks SaaS support 100

TechCrunch

DECEMBER 1, 2022

Terms of the deal haven’t been disclosed, but the deal is tantamount to an “acqui-hire,” with Mozilla looking to deploy the Pulse team across an array of machine learning (ML) projects. “As we look to continue to improve user experiences across all of our products, ML will be a core part of that.”

disruption 99

disruption culture sustainability opportunity 99

TechCrunch

JUNE 10, 2022

In my role advising growth-stage enterprise tech companies as part of B Capital Group’s platform team, I observe similar dynamics across nearly every AI, ML and advanced predictive analytics companies I speak with. Challenge 1: AI and ML categories are still being defined. AI and ML companies face a similar dynamic.

SaaS 88

SaaS strategy VC capital 88

TechCrunch

AUGUST 24, 2023

AI is changing how sports content is consumed If we asked someone about sports broadcasting a few years ago, we would have bet artificial intelligence (AI) and machine learning (ML) would be the last thing on their mind. We don’t want to just put math on the screen,” Betsy Riley, senior coordinating producer at Prime Video, told us.

networking 92

networking accelerator enablement innovation 92

Andreessen Horowitz

MARCH 26, 2024

Together, they turned sophisticated ML research into differentiated, practical applications for non-technical business users. Tyler (who was the fastest promotion to engineering director at his previous firm) scaled the systems data pipelines so that training and inference could work at scalable economics for the average business.

investing 129

investing investment accelerator enablement 129

TechCrunch

NOVEMBER 16, 2020

More specifically, we make it easy to build, train, deploy ML models into production using Kubernetes and intelligent intelligently manage all the data around it.” “We make it super easy to set up end-to-end machine learning pipelines. ” Like so many developer-centric platforms today, Arrikto is all about “shift left.”

incubation 112

incubation development collaboration board 112

TechCrunch

JUNE 2, 2021

“Data, ML and AI are becoming an essential part of the industry and IT infrastructure,” said Leibert, general partner at 468 Capital. Companies with great open source adoption and bottom-up market strategy, like Iterative, are going to define the standards for AI tools and processes around building ML models.”

collaboration 99

collaboration SaaS enablement development 99

Tomasz Tunguz

DECEMBER 17, 2022

ML propels SaaS into a massive second wave that increases workers’ productivity measurably. Users grow accustomed to this very quickly & ML becomes a requisite feature in most workflow SaaS. The ML stack folds into the classic data stack. Here are my predictions for 2023.

SaaS 103

SaaS incumbents board accelerator 103

TechCrunch

NOVEMBER 19, 2021

The concept of MLOps gained traction as a few specific best practices for working with machine learning (ML) models, but it is maturing into a standalone approach for managing the ML lifecycle. In a TechCrunch+ post, Kakran lays out several challenges companies can address using MLOps: Cross-team collaboration to deploy ML.

pitching 85

pitching accelerator frameworks advice 85

TechCrunch

JULY 16, 2021

million users with its new ML algorithms. For now, the personal plan will not include support for ML. Earlier this week, Visualping launched its first machine learning-based tools to avoid just that. The company argues that it can eliminate up to 80% of false alerts by combining feedback from its more than 1.5

startup accelerator 101

startup accelerator collaboration accelerator support 101

TechCrunch

SEPTEMBER 27, 2021

Malloc’s co-founders Maria Terzi, Artemis Kontou and Liza Charalambous built the app around a machine learning (ML) model, which allows the app to detect and block device activity that could be construed as spyware recording or sending data. The ML model runs on the device to be more privacy-preserving than sending data to the cloud.

innovation 99

innovation startup founder 99

TechCrunch

OCTOBER 19, 2021

“There is a strong appetite from companies and individuals to leverage technologies and systems that are currently only accessible to domain experts such as data scientists, ML engineers and AI researchers,” he added. The reality is that the number of applications for AI/ML are endless. COVID-19 is driving demand for low-code apps.

development 99

development shared workspaces collaboration financing 99

TechCrunch

NOVEMBER 4, 2021

“ML engineers need better tools to ensure high-quality data through all stages of an ML project’s life cycle,” said Ng. “AI Fund is excited to support WhyLabs, whose open source logging library and AI observability platform makes it easy for developers to maintain real time logs and monitor ML deployments.”

SaaS 100

SaaS health frameworks enablement 100