Openxcell

APRIL 7, 2023

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

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TechCrunch

JULY 12, 2022

Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. “Typical use cases for Tecton are machine learning applications that benefit from real-time inference.

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TechCrunch

SEPTEMBER 8, 2022

Arize AI , a startup developing a platform for machine learning operations, today announced that it raised $38 million in a Series B round led by TCV with participation from Battery Ventures and Foundation Capital. Machine learning operations, or MLOps, has to do with deploying and maintaining machine learning models in production.

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CIO

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing. billion by 2025.

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TechCrunch

JUNE 7, 2022

. “The main challenge in building or adopting infrastructure for machine learning is that the field moves incredibly quickly. “That’s why we’re building a continuous machine learning improvement platform.” Machine learning makes it possible to deliver these experiences at scale.

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TechCrunch

OCTOBER 19, 2021

We worked with hundreds of developers who had great machine learning tools and internal systems to launch models, but there were not many who knew how to use the tools,” Dang told TechCrunch. They didn’t work with machine learning extensively, so we decided to build tools for technical non-experts.

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TechCrunch

MAY 25, 2022

began demoing an accelerator chipset that combines “traditional compute IP” from Arm with a custom machine learning accelerator and dedicated vision accelerator, linked via a proprietary interconnect, To lay the groundwork for future growth, Sima.ai by the gap he saw in the machine learning market for edge devices. .

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TechCrunch

NOVEMBER 1, 2022

of data scientists and machine learning engineers say that the time required to detect and diagnose problems with a model is a problem for their teams, while over one in four (26.2%) admit that it takes them a week or more to detect and fix issues. . By one estimation , the market for MLOps could reach $4 billion by 2025.

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CIO

APRIL 29, 2024

Gartner, in an IT spending forecast released in April, predicted that 22% of all smartphones shipped this year will be AI-enabled, rising to 32% in 2025, and 56% in 2026. Gartner analyst John-David Lovelock suggested that timeline was ambitious for most companies.

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Altexsoft

MAY 5, 2023

This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making. The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing. The early adopters, plain and simple.”

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TechCrunch

AUGUST 13, 2021

Automation will displace 85 million jobs while simultaneously creating 97 million new jobs by 2025, according to the World Economic Forum. Although that sounds like good news, the hard reality is that millions of people will have to retrain in the jobs of the future. It’s also now added Splunk Ventures as a strategic investor.

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TechCrunch

APRIL 16, 2021

By 2025, 463 exabytes of data will be created each day, according to some estimates. In Anaconda’s 2020 State of Data Science survey of more than 2,300 data scientists, nearly a quarter of respondents said that their data science or machine learning (ML) teams lacked communication skills. Make the abstract more tangible.

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TechCrunch

MAY 3, 2022

“There were no purpose-built machine learning data tools in the market, so [we] started Galileo to build the machine learning data tooling stack, beginning with a [specialization in] unstructured data,” Chatterji told TechCrunch via email. According to one recent survey (from MLOps Community), 84.3%

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TechCrunch

MARCH 10, 2021

Israel’s retrain.ai , which uses AI and machine learning to read job boards at scale and gain insight into where the job market is going, has closed a $9 million Series A led by Square Peg. Our vision is to help 10 million workers get the right jobs by 2025 and help organizations navigate efficiently through the wave of change.”.

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TechCrunch

MARCH 30, 2023

Juniper Research expects that online payment fraud losses will eclipse $200 billion by 2025. ” What makes Oscilar different, Narkhede says, is the platform’s heavy reliance on AI and machine learning. At the same time, risk has indeed increased. Nivelo recently launched with $2.5

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TechCrunch

JANUARY 23, 2023

The consulting giant reportedly paid around $50 million for Iguazio, a Tel Aviv-based company offering an MLOps platform for large-scale businesses — “MLOps” referring to a set of tools to deploy and maintain machine learning models in production. MLOps might not be as sexy as, say, ChatGPT. But demand is growing.

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CIO

OCTOBER 16, 2023

In fact, well before OpenAI opened the floodgates with ChatGPT almost a year ago, Gartner forecasted the worldwide AI software market would top $135 billion by 2025. With GenAI, anyone can consume AI tools to create content.

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TechCrunch

MARCH 9, 2023

.” Patterns has elements of an MLOps platform — that is, a platform for building, testing and deploying machine learning models into production. By one estimation , the market for MLOps could reach $4 billion by 2025. MLOps is a burgeoning field, with lots of vendors vying for both market share and VC dollars.

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TechCrunch

JUNE 30, 2022

Modular’s other co-founder, Tim Davis, is accomplished in his own right, having helped set the vision, strategy and roadmaps for Google machine learning products spanning small research groups to production systems. Image Credits: Modular.

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TechCrunch

AUGUST 2, 2021

companies will spend upward of $100 billion on AI R&D per year by 2025. From there, you’ll need to hire research engineers or machine learning operations professionals. João Graça is CTO and co-founder of Unbabel , an AI-powered language operations platform that enables any agent to communicate in any language.

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TechCrunch

FEBRUARY 11, 2022

billion by 2025. Agot AI is using machine learning to develop computer vision technology, initially targeting the quick-serve restaurant (QSR) industry, so those types of errors can be avoided. Market Study Report predicts the global restaurant management software market to grow nearly 15% annually to reach $6.95

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TechCrunch

OCTOBER 11, 2021

million Series C round to beef up its machine learning-based platform development and hire staff. . trillion in 2025 from $1.37 South Korean robo-advisors’ assets under management are expected to grow up to $25 billion in 2025 from $8.36 Fount , a robo-advisor startup in South Korea, has raised a $33.4 billion in 2021.

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OTS Solutions

JUNE 3, 2022

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning. In addition, pharmaceutical businesses can generate more effective drugs and improve medical research and experimentation using machine learning.

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TechCrunch

JANUARY 25, 2022

Meanwhile, the company is developing machine learning algorithms with the ability to pick out subpar cells. . The dream is to build a truly autonomous human cell foundry by 2025. . She’ll plan to expand the machine learning capacity of the platform — a key part of making Cellino’s platform truly autonomous.

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TechCrunch

NOVEMBER 15, 2021

Lifen has also added some machine learning on top of its document product. By 2025, the startup wants to work with 1,500 hospitals and 200 e-health solutions. The startup built a document platform that works with several electronic messaging protocols designed for medical records.

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TechCrunch

MARCH 17, 2023

The startup developed a library of machine learning models that can analyze and predict vehicle behavior such as driving and charging across the Porsche fleet. Ultimately, the company wants the software to be automated using machine learning tools.

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Altexsoft

FEBRUARY 5, 2019

A lot of this advanced growth is due to the versatile capabilities of machine learning or deep learning, a development that allows AI to adapt to new challenges by reconfiguring itself based on new data. This is just one of the many game-changing capabilities of machine learning when it’s applied to business.

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TechCrunch

JANUARY 19, 2021

Cruise will be able to lock in lower prices for cloud services and Microsoft will be able to test some of its bleeding-edge systems that can handle workloads needed to bring machine learning and robotics — like autonomous vehicles — to life and at scale.

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CIO

JANUARY 22, 2024

trillion by 2025, as cyber risk management has not kept up with digital transformation posing serious risks to organizations’ security and revenue. Matt is an expert in large-scale optimization, distributed sensing, and machine learning algorithms run on massively parallel systems.

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Hacker Earth Developers Blog

APRIL 13, 2022

One of the most exciting and rapidly-growing fields in this evolution is Artificial Intelligence (AI) and Machine Learning (ML). Simply put, AI is the ability of a computer to learn and perform tasks that ordinarily require human intelligence, such as understanding natural language and recognizing objects in pictures.

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TechCrunch

SEPTEMBER 8, 2022

According to Internet Data Center (IDC) , global data is projected to increase to 175 zettabytes in 2025, up from 33 zettabytes in 2018. However, data storage costs keep growing, and the data people keep producing and consuming can’t keep up with the available storage.

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CIO

FEBRUARY 14, 2024

Alongside this AI buzz is the exponential data growth within every enterprise; studies show that global data creation is projected to grow to more than 180 zettabytes by 2025. According to Gartner’s projections for 2025 , analytical and soft skills will emerge as the most sought-after skills in the data and analytics talent market.

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TechCrunch

JUNE 1, 2022

Today, the number stands around 35 billion, and is expected to eclipse 75 billion by 2025. The startup’s system, which deploys on top of existing infrastructure, uses machine learning algorithms to build a baseline understanding of devices’ behavior and flag suspicious events. In 2015, there were approximately 3.5

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TechCrunch

OCTOBER 25, 2022

Axelera’s test chip for accelerating AI and machine learning workloads. ai also offer in-memory solutions for AI, data analytics and machine learning applications. billion by 2025. Image Credits: Axelera. “We’re democratizing AI access,” Del Maffeo said.

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TechCrunch

OCTOBER 18, 2022

Once the port is implanted in the chest and the catheter goes through a patient’s heart, the device captures images of blood cells and then compresses the data and sends it to the cloud, after which it is analyzed via machine learning. Skinner says the startup anticipates human testing to begin toward the end of 2025.

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TechCrunch

APRIL 18, 2022

Much of the top developer talent in China has gotten just as expensive as their counterparts in Western countries, observed Wang, who holds a PhD in machine learning from Princeton. It aims to raise that ratio to 50% by 2025, at which point it expects to be operating several tech development centers across various continents.

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CIO

DECEMBER 12, 2022

By 2025, the volume of data created, captured, copied, and consumed worldwide is forecast to increase to more than 180 zettabytes from a 2020 base of 64.2 Wisdom” : using the latest in artificial intelligence and machine learning to predict future resource consumption and potential incidents and initiate preventive scenarios.

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