TechCrunch

DECEMBER 9, 2020

At a time when more companies are building machine learning models, Arthur.ai As CEO and co-founder Adam Wenchel explains, data scientists build and test machine learning models in the lab under ideal conditions, but as these models are put into production, the performance can begin to deteriorate under real world scrutiny.

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CIO

NOVEMBER 14, 2024

Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. RAG is an increasingly popular approach for improving LLM inferences, and the RAG with Knowledge Graph AMP takes this further by empowering users to maximize RAG system performance.

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CIO

APRIL 12, 2023

Data is a key component when it comes to making accurate and timely recommendations and decisions in real time, particularly when organizations try to implement real-time artificial intelligence. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores.

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CIO

NOVEMBER 5, 2024

Our commitment to customer excellence has been instrumental to Mastercard’s success, culminating in a CIO 100 award this year for our project connecting technology to customer excellence utilizing artificial intelligence. We live in an age of miracles. When a customer needs help, how fast can our team get it to the right person?

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TechCrunch

NOVEMBER 1, 2021

OctoML , a Seattle-based startup that helps enterprises optimize and deploy their machine learning models, today announced that it has raised an $85 million Series C round led by Tiger Global Management. ” OctoML raises $28M Series B for its machine learning acceleration platform.

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CIO

JANUARY 30, 2025

Augmented data management with AI/ML Artificial Intelligence and Machine Learning transform traditional data management paradigms by automating labour-intensive processes and enabling smarter decision-making. With machine learning, these processes can be refined over time and anomalies can be predicted before they arise.

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TechCrunch

NOVEMBER 4, 2022

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. Predicting protein structures.

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Artificial Inteligence Machine Learning Biotech Training 274

Cloudera

DECEMBER 9, 2024

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . An AMP is a pre-built, high-quality minimal viable product (MVP) for Artificial Intelligence (AI) use cases that can be deployed in a single-click from Cloudera AI (CAI).

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CIO

NOVEMBER 12, 2024

The hunch was that there were a lot of Singaporeans out there learning about data science, AI, machine learning and Python on their own. Because a lot of Singaporeans and locals have been learning AI, machine learning, and Python on their own. I needed the ratio to be the other way around! And why that role?

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CIO

APRIL 2, 2025

Artificial intelligence (AI) has long since arrived in companies. AI consulting: A definition AI consulting involves advising on, designing and implementing artificial intelligence solutions. Whether in process automation, data analysis or the development of new services AI holds enormous potential.

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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.

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CIO

MARCH 20, 2025

Generative and agentic artificial intelligence (AI) are paving the way for this evolution. Built on top of EXLerate.AI, EXLs AI orchestration platform, and Amazon Web Services (AWS), Code Harbor eliminates redundant code and optimizes performance, reducing manual assessment, conversion and testing effort by 60% to 80%.

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TechCrunch

AUGUST 26, 2021

LOVO , the Berkeley, California-based artificial intelligence (AI) voice & synthetic speech tool developer, this week closed a $4.5 The proceeds will be used to propel its research and development in artificial intelligence and synthetic speech and grow the team. “We

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TechCrunch

JULY 20, 2021

Alex Dalyac is the CEO and co-founder of Tractable , which develops artificial intelligence for accident and disaster recovery. Here’s how we did it, and what we learned along the way. In 2013, I was fortunate to get into artificial intelligence (more specifically, deep learning) six months before it blew up internationally.

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CIO

JANUARY 6, 2025

They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more. I am excited about the potential of generative AI, particularly in the security space, she says.

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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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Artificial Inteligence Artificial Intelligence Technical Review Machine Learning 299

Crunchbase News

OCTOBER 17, 2024

The startup uses light to link chips together and to do calculations for the deep learning necessary for AI. The Columbus, Ohio-based company currently has two robotic welding products in the market, both leveraging vision systems, artificial intelligence and machine learning to autonomously weld steel parts.

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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. There are also significant cost savings linked with artificial intelligence in health care.

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CIO

JANUARY 9, 2025

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

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Artificial Inteligence Software Review Software Enterprise 192

CIO

MARCH 20, 2025

OpenAI is leading the pack with ChatGPT and DeepSeek, both of which pushed the boundaries of artificial intelligence. During the Spring Festival Gala, humanoid robots performed the Yangge folk dance, combining traditional heritage with advanced AI-driven movement.

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Crunchbase News

FEBRUARY 19, 2025

billion globally went to companies applying advances in artificial intelligence to health-related areas such as medical services and pharmaceutical development, per Crunchbase data. The smash hit of the past year was Tempus AI , an artificial intelligence precision medicine company that went public in June.

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Crunchbase News

OCTOBER 30, 2024

By Priya Saiprasad It’s no surprise that the AI market has skyrocketed in recent years, with venture capital investments in artificial intelligence totaling $332 billion since 2019, per Crunchbase data. However, as AI booms, exit value in the United States is plummeting. They have no say in our editorial process. For more, head here.

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InnovationM

MARCH 18, 2025

As training progresses, we gradually decrease the learning rate to fine-tune the models performance. By dynamically adjusting the learning rate over the epochs, we ensure that our models make significant progress in the initial stages and fine-tune their weights in later stages. Early stopping is a safeguard against overfitting.

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CIO

MARCH 25, 2025

Artificial intelligence (AI) has rapidly shifted from buzz to business necessity over the past yearsomething Zscaler has seen firsthand while pioneering AI-powered solutions and tracking enterprise AI/ML activity in the worlds largest security cloud.

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CIO

NOVEMBER 6, 2024

Artificial intelligence has moved from the research laboratory to the forefront of user interactions over the past two years. As senior product owner for the Performance Hub at satellite firm Eutelsat Group Miguel Morgado says, the right strategy is crucial to effectively seize opportunities to innovate.

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The Crazy Programmer

NOVEMBER 6, 2021

hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. AI or Artificial Intelligence Engineer. An AI engineer works with artificial intelligence technologies to design and develop effective methods to perform a variety of operations efficiently.

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TechCrunch

AUGUST 20, 2021

A new risk-based framework for applications of AI — aka the Artificial Intelligence Act — is also incoming and will likely expand compliance demands on AI health tech tools like Cardiomatics, introducing requirements such as demonstrating safety, reliability and a lack of bias in automated results.

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Artificial Inteligence Artificial Intelligence Healthcare Analysis 294

N2Growth Blog

DECEMBER 4, 2024

Technologies such as artificial intelligence and machine learning allow for sophisticated segmentation and targeting, enhancing the relevance and impact of marketing messages. Joint Metrics: Developing shared key performance indicators (KPIs) to measure success collectively.

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CIO

JANUARY 5, 2025

SS&C Blue Prism argues that combining AI tools with automation is essential to transforming operations and redefining how work is performed.

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TechCrunch

FEBRUARY 11, 2021

The startup’s unique edge is in combining the largest and richest data set of its type available, formed in partnership with world-leading immunological research organizations, with its own machine learning technology to deliver analytics at unprecedented scale.

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CIO

DECEMBER 12, 2024

Successful pilot projects or well-performing algorithms may give business leaders false hope, he says. In some use cases, older AI technologies, such as machine learning or neural networks, may be more appropriate, and a lot cheaper, for the envisioned purpose. The bigger picture can tell a different story, he adds.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

We are excited about the potential productivity gain and acceleration for generative-AI application development with Bedrock Flows.” – Laura Skylaki, VP of Artificial Intelligence, Business Intelligence and Data Platforms at Thomson Reuters. They lack visibility into performance bottlenecks affecting customer experience.

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TechCrunch

MAY 27, 2022

In 2015, the launch of YOLO — a high-performing computer vision model that could produce predictions for real-time object detection — started an avalanche of progress that sped up computer vision’s jump from research to market. Perform a thorough risk assessment. He holds an S.M. in Electrical Engineering and a B.S.

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TechCrunch

AUGUST 7, 2022

Fed enough data, the conventional thinking goes, a machine learning algorithm can predict just about anything — for example, which word will appear next in a sentence. AI’s strength lies in its predictive prowess.

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Tools Artificial Inteligence Machine Learning Study 296

TechCrunch

JUNE 7, 2022

A 2020 IDC survey found that a shortage of data to train AI and low-quality data remain major barriers to implementing it, along with data security, governance, performance and latency issues. “The main challenge in building or adopting infrastructure for machine learning is that the field moves incredibly quickly.

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CIO

JUNE 24, 2024

Many of our customers have been doing forms of artificial intelligence like data analytics, machine learning, and neural networks for years inside the four walls of our facilities, which is why we’ve been able to innovate with them.

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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.

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