TechCrunch

MAY 18, 2022

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection.

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CIO

APRIL 25, 2025

AI skills broadly include programming languages, database modeling, data analysis and visualization, machine learning (ML), statistics, natural language processing (NLP), generative AI, and AI ethics. As one of the most sought-after skills on the market right now, organizations everywhere are eager to embrace AI as a business tool.

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CIO

DECEMBER 11, 2024

Digital transformation started creating a digital presence of everything we do in our lives, and artificial intelligence (AI) and machine learning (ML) advancements in the past decade dramatically altered the data landscape. Implementing ML capabilities can help find the right thresholds.

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Data Technical Review Software Review Weak Development Team 167

TechCrunch

AUGUST 24, 2022

In 2020, Chinese startup Zilliz — which builds cloud-native software to process data for AI applications and unstructured data analytics, and is the creator of Milvus , the popular open source vector database for similarity searches — raised $43 million to scale its business and prep the company to make a move into the U.S.

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O'Reilly Media - Data

JULY 18, 2018

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. They then investigate additional data sources that they can use to augment their existing data. Economic value of data.

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CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Analytics 203

Analytics Data Analysis Business Analytics 203

O'Reilly Media - Data

AUGUST 2, 2018

The O’Reilly Data Show Podcast: Chang Liu on operations research, and the interplay between differential privacy and machine learning. In a previous post , I highlighted early tools for privacy-preserving analytics, both for improving decision-making (business intelligence and analytics) and for enabling automation (machine learning).

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CIO

DECEMBER 20, 2024

AI and machine learning models. A container orchestration system, such as open-source Kubernetes, is often used to automate software deployment, scaling, and management. Real-time analytics. Application programming interfaces. Modern data architectures use APIs to make it easy to expose and share data.

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TechCrunch

MAY 17, 2023

Union AI , a Bellevue, Washington–based open source startup that helps businesses build and orchestrate their AI and data workflows with the help of a cloud-native automation platform, today announced that it has raised a $19.1 At the time, Lyft had to glue together various open source systems to put these models into production.

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CIO

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

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AWS Machine Learning - AI

APRIL 23, 2025

In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker. Serverless on AWS AWS GovCloud (US) Generative AI on AWS About the Authors Nick Biso is a Machine Learning Engineer at AWS Professional Services.

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O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 186

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CIO

NOVEMBER 4, 2024

Over the next one to three years, 84% of businesses plan to increase investments in their data science and engineering teams, with a focus on generative AI, prompt engineering (45%), and data science/data analytics (44%), identified as the top areas requiring more AI expertise.

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TechCrunch

MARCH 16, 2022

TruEra , a startup that offers an AI quality management solution to optimize, explain and monitor machine learning models, today announced that it has raised a $25 million Series B round led by Menlo Ventures. “If I were the machine learning data scientist, what would I want to use?

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TechBeacon

OCTOBER 28, 2020

The ability to build artificial intelligence (AI) or machine-learning (ML) models is moving quickly away from the data scientist's domain and toward the citizen developer. Creating results from AI is getting easier, thanks to open-source tools that can convert AI/ML data streams into clear information that drives visualizations.

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O'Reilly Media - Data

SEPTEMBER 27, 2019

Cassie Kozyrkov offers actionable advice for taking advantage of machine learning, navigating the AI era, and staying safe as you innovate. Watch “ Staying safe in the AI era “ Recent trends in data and machine learning technologies. Arun Murthy introduces the open source Cloudera Data Platform (CDP).

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Github

NOVEMBER 8, 2023

First released in 2005, Git was still a new open source version control system when we founded GitHub. At GitHub, we know developers love to learn by doing and open source helps developers more rapidly adopt new technologies, integrate them into their workflows, and build what’s next.

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CIO

JANUARY 20, 2023

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.

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Analytics Artificial Inteligence Artificial Intelligence Hardware 205

Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossible business challenges effectively and at scale.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. In contrast, our solution is an open-source project powered by Amazon Bedrock , offering a cost-effective alternative without those limitations.

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O'Reilly Media - Data

SEPTEMBER 12, 2018

Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. Preserving privacy and security in machine learning. Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services. Watch " Wait.

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CIO

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science vs. data analytics. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like.

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Data Artificial Inteligence Machine Learning Analytics 210

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. Thus, most companies start off with DIY — that is our primary competition,” Umare said.

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O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Machine Learning model lifecycle management. Deep Learning. Data Platforms.

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AWS Machine Learning - AI

APRIL 1, 2025

You can accomplish this using two MCP servers: a custom-built MCP server for retrieving the AWS spend data and an open source MCP server from Perplexity AI to interpret the data. About the authors Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build generative AI solutions.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding. Additional integrations with services like Amazon Data Firehose , AWS Glue , and Amazon Athena allowed for historical reporting, user activity analytics, and sentiment trends over time through Amazon QuickSight.

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Invid Group

MARCH 19, 2024

What Is Machine Learning Used For? By INVID With the rise of AI, the term “machine learning” has grown increasingly common in today’s digitally driven world, where it is frequently credited with being the impetus behind many technical breakthroughs. Let’s break it down. Take retail, for instance.

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CIO

APRIL 16, 2025

Data architecture: Ensuring data governance, security, a connected data model and seamless flow between systems and supporting analytics and AI drive business insights and efficiencies. Open source: This is an expanding offering in the industry and enterprise architecture stack beyond software, with huge potential.

Technical Review 186

Technical Review Enterprise Strategy Innovation 186

O'Reilly Media - Ideas

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.

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Hacker Earth Developers Blog

JANUARY 18, 2023

The latter’s expanse is wide and complex – from simpler tasks like data entry, to intermediate ones like analysis, visualization, and insights, and to the more advanced machine learning models and AI algorithms. developed by companies like Facebook and Uber, which have been made open source.

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TechCrunch

JULY 6, 2022

IBM today announced that it acquired Databand , a startup developing an observability platform for data and machine learning pipelines. Details of the deal weren’t disclosed, but Tel Aviv-based Databand had raised $14.5 million prior to the acquisition.

Data 280

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CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

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TechCrunch

MAY 10, 2022

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.

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TechCrunch

FEBRUARY 2, 2022

RudderStack , a platform that focuses on helping businesses build their customer data platforms to improve their analytics and marketing efforts, today announced that it has raised a $56 million Series B round led by Insight Partners, with previous investors Kleiner Perkins and S28 Capital also participating.

Data 204

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Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.

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TechCrunch

JUNE 30, 2022

“Many of the world’s largest, non-big tech firms naively believe that the open-source community and the open-source infrastructure owned by Google, Meta, and Nvidia, will eventually provide this, when their priorities and limitations show otherwise.” Image Credits: Modular.

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Xebia

MARCH 21, 2023

Visually, they look like this: (source: Analytics India Mag ) Robin, Android, or London are nodes with different properties such as age, version, or coordinates. Altimeter provides an open-source alternative to easily populate a complex graph database with your Cloud information in a matter of minutes.

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