TechCrunch

MAY 2, 2022

Businesses need machine learning here. ” Like several of its competitors, including Salt, Traceable uses AI to analyze data to learn normal app behavior and detect activity that deviates from the norm. .” To have zero trust you need API clarity. undocumented) and “orphaned” (e.g., ”

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Artificial Inteligence Machine Learning Technical Cofounder Cloud 234

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.

Open Source 199

Open Source Artificial Inteligence Comparison B2C 199

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 65

Open Source Analytics Software Review Metrics 65

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.

Machine Learning 89

Machine Learning Artificial Inteligence Analytics Open Source 89

CIO

OCTOBER 20, 2023

Opt for orchestration and global reach Leveraging orchestration tools like Google Kubernetes Engine (GKE), a Google-managed Kubernetes open-source container orchestration platform implementation, ensures smooth global operations. Learn more about how Bud unlocks AI-driven insights for financial institutions.

Google Cloud 328

Google Cloud Artificial Inteligence Development Team Review Banking 328

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.

Open Source 136

Open Source Artificial Inteligence Artificial Intelligence Tools 136

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).

Machine Learning 104

Machine Learning Artificial Inteligence Open Source Business Intelligence 104

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.

Machine Learning 122

Machine Learning Artificial Inteligence Analysis Energy 122

CIO

SEPTEMBER 26, 2023

Monterrey region to provide Telmex value-added services The new region in Mexico, in Monterrey, is part of Oracle’s distributed cloud strategy, under which the company provides a managed open source database service available across multiple clouds for transaction processing, analytics , and machine learning workloads.

Cloud 361

Cloud Strategy Generative AI Data Center 361

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

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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Artificial Inteligence Analytics Machine Learning Software Development 218

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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Artificial Inteligence Machine Learning Open Source Biotech 202

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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Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Open source solutions reduce risk.

Analytics 107

Analytics Open Source Government Machine Learning 107

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.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

O'Reilly Media - Ideas

NOVEMBER 13, 2018

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Let’s begin by looking at the state of adoption.

Machine Learning 91

Machine Learning Artificial Inteligence Software Review Conference 91

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

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

Data Machine Learning Artificial Inteligence Architecture 204

Perficient

MARCH 29, 2023

Set up the SAP Data Hub environment, connect to the SAP data, set up a pipeline with Pipeline Modeler, configure the Streaming Analytics Service, setup Kafka or MQTT and receive the streaming data in Databricks with Spark Streaming. Data lakehouses enable business intelligence (BI) and machine learning (ML) on all data.

Analytics 81

Analytics Machine Learning Artificial Inteligence Architecture 81

Netflix Tech

JULY 20, 2020

Fuzzy diffing using k-nearest neighbors clustering from machine learning (the kind of thing logreduce does) produces around 40,000 candidate lines but takes an hour to complete. and thanks to the magic of open source, it’s only about a hundred lines of Python code.

Machine Learning 71

Machine Learning Artificial Inteligence Development Authentication 71

Openxcell

JUNE 9, 2023

Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics? This blog explains all about Big Data Analytics, its trends, tools and more.

Big Data 52

Big Data Analytics Tools Data 52

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.

System 228

System Artificial Inteligence Development Machine Learning 228

Cloudera

OCTOBER 13, 2021

Imagine if you had to explain what machine learning is and how to use it. Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics. There’s no need to panic.

Machine Learning 74

Machine Learning Artificial Inteligence Data IoT 74

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.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

Dzone - DevOps

NOVEMBER 7, 2023

Databricks is a cloud-based platform designed to simplify the process of building data engineering pipelines and developing machine learning models. It offers a collaborative workspace that enables users to work with data effortlessly, process it at scale, and derive insights rapidly using machine learning and advanced analytics.

Data Engineering 76

Data Engineering Engineering Machine Learning Artificial Inteligence 76

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

TechCrunch

OCTOBER 3, 2022

“And of course, we will continue to work with the open source community to drive innovation and evangelism of Apache Flink.” ” Temme acknowledges that there are other cloud services for Apache Flink, like Amazon Web Services’ (AWS) Kinesis Data Analytics and Aiven’s fully managed Apache Flink service.

Cloud 232

Cloud Data Serverless AWS 232

CIO

AUGUST 24, 2023

Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.

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Artificial Inteligence Minimum Viable Product Machine Learning Artificial Intelligence 244

CIO

JULY 10, 2023

Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core. His role now encompasses responsibility for data engineering, analytics development, and the vehicle inventory and statistics & pricing teams.

Infrastructure 246

Infrastructure Artificial Inteligence Data Generative AI 246

TechCrunch

SEPTEMBER 29, 2021

million and Ekylibre (France) is an open source ERP for farmers which has raised an undisclosed Series A. There are increasing numbers of FaaS (farming as a service) startups that are looking to help farmers manage crop yields and plug into IoT sensors or data such as weather platforms.

Sustainability 205

Sustainability Machine Learning Artificial Inteligence IoT 205

TechCrunch

OCTOBER 7, 2021

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. It will give users more detailed notifications around workflows, with root cause analysis, and it will also give engineers, whether or not they are data science specialists, more tools to run analytics on their data sets.

Cloud 209

Cloud Sport Open Source Machine Learning 209

CTOvision

OCTOBER 23, 2018

Any artificial intelligence or machine learning has to be backed by a powerful hardware as well as software. Premier chip maker Nvidia is bringing the hardware part to machine learning. It has launched Rapids, an open source platform for data science and machine learning, to help bring GPU acceleration to data analytics.

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Artificial Inteligence Analytics Artificial Intelligence Machine Learning 73

TechCrunch

JANUARY 12, 2021

Winterstein notes that its efforts were all open source-based and that the company was “not commercial at all, a lot of tech geeks and German engineering types that were not overly experienced in go-to-market strategies.” In any case, there are no plans for an exit anytime soon with growth going strong.

Software Review 170

Software Review Artificial Inteligence Technical Review Analytics 170

CIO

JANUARY 4, 2023

It’s a tall order, and one that will hinge on a few factors: Accelerator deployment and management at scale Changes to power and cooling design decisions at very large scale Open-source deployment of high-performance clusters to run simulation, AI, and data analytics workloads What’s New and Growing Among HPC Users?

Artificial Inteligence 147

Artificial Inteligence Data Center Artificial Intelligence Analytics 147

CIO

SEPTEMBER 21, 2023

It made predictions and analytics broadly accessible and put the power of data in the hands of people who needed it, exactly when they needed it, and in the form that was most useful to them. Open-source AI Open source has long been a driver of innovation in the AI space.

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Artificial Inteligence Enterprise Trends ChatGPT 325