O'Reilly Media - Data

JUNE 5, 2018

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

Artificial Inteligence 163

Artificial Inteligence Machine Learning Software Review Weak Development Team 163

TechCrunch

AUGUST 19, 2021

As tempting as it may be to think of a future where there is a machine learning model for every business process, we do not need to tread that far right now. Data can enhance the operations of virtually any component within the organizational structure of any business. How to ensure data quality in the era of Big Data.

Company 314

Company Data Artificial Inteligence Machine Learning 314

TechCrunch

SEPTEMBER 30, 2022

One of these companies is 7Analytics , a Norwegian startup founded back in 2020 by a team of data scientists and geologists to reduce the risks of flooding for construction and energy infrastructure companies.

Big Data 233

Big Data Data Construction Energy 233

TechBeacon

JANUARY 4, 2022

Attending AI, analytics, big data, and machine-learning conferences helps you learn about the latest advancements and achievements in these technologies, things that would likely take too long and too much effort to research and master on your own.

Big Data 141

Big Data Conference Analytics Artificial Inteligence 141

O'Reilly Media - Data

MARCH 8, 2018

Big data is often called one of the most important skill sets in the 21st century, and it’s experiencing enormous demand in the job market. Hiring data scientists and other big data professionals is a major challenge for large enterprises, leading many to shift their efforts to training existing staff.

Big Data 131

Big Data Company Data Software Engineering 131

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. MLOps lies at the confluence of ML, data engineering, and DevOps. More time for development of new models.

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Artificial Inteligence Machine Learning DevOps Tools 145

TechCrunch

SEPTEMBER 28, 2021

Arize AI is applying machine learning to some of technology’s toughest problems. The company touts itself as “the first ML observability platform to help make machine learning models work in production.” Its technology monitors, explains and troubleshoots model and data issues.

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Artificial Inteligence Machine Learning Fintech Retail 245

TechBeacon

AUGUST 18, 2020

One of the many technologies included under the umbrella of artificial intelligence, machine learning is defined by Wikipedia as "a field of computer science that gives computers the ability to learn without being explicitly programmed.".

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Artificial Inteligence Machine Learning Artificial Intelligence Data 145

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

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Artificial Inteligence Applications Cloud Artificial Intelligence 246

O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The main standard with some applicability to big data is ANSI SQL.

Big Data 125

Big Data Data Storage Azure 125

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.)

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

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.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

TechCrunch

JANUARY 9, 2023

.” From a technology and data perspective, Superscript says it uses “proprietary machine learning technology” to set itself apart, including throughout the acquisition and onboarding process in its self-serve product which guides would-be customers toward the correct channels.

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Insurance Artificial Inteligence Machine Learning Fintech 305

TechBeacon

MARCH 2, 2023

Machine learning (ML) recently experienced a revival of public interest with the launch of ChatGPT. Businesses and researchers, however, have been working with these technologies for decades.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Artificial Intelligence ChatGPT 105

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

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Artificial Inteligence Machine Learning Engineering Data Engineering 105

CIO

DECEMBER 30, 2024

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. AI and machine learning evolution Lalchandani anticipates a significant evolution in AI and machine learning by 2025, with these technologies becoming increasingly embedded across various sectors.

Trends 158

Trends Innovation IoT Disaster Recovery 158

Linux Academy

APRIL 10, 2019

He then covered the new focus on cloud security with an emphasis on access log transparency, data loss prevention, and VPC service controls such as Policy Intelligence, a machine learning-based service that targets access that may be too broad. Cloud Data Fusion. Big data got some big news today as well.

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Google Cloud Big Data Cloud Data 97

TechCrunch

JUNE 25, 2021

“Our thesis is that there’s no way that enterprises today can continue to analyze all their data in real time,” said Edge Delta co-founder and CEO Ozan Unlu, who has worked in the observability space for about 15 years already (including at Microsoft and Sumo Logic). Image Credits: Edge Delta.

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Artificial Inteligence Machine Learning Big Data Business Intelligence 210

TechCrunch

JULY 12, 2022

Goldman Sachs led SingleStore’s Series F extension with participation from Sanabil, Dell Technologies Capital, Google Ventures, Hewlett Packard Enterprise, Rev IV, IBM and Insight Partners. The fundraising perhaps reflects the growing demand for platforms that enable flexible data storage and processing. customer preferences).

Storage 206

Storage Big Data Analytics Survey 206

TechCrunch

SEPTEMBER 7, 2021

” This is emerging as a very big opportunity in complex fields like oncology: cancer mutates and behaves differently depending on many factors, including genetic differences of the patients themselves, which means that treatments are less effective if they are “one size fits all.”

Data 200

Data Artificial Inteligence Machine Learning Pharmaceuticals 200

TechCrunch

NOVEMBER 9, 2021

valuation for its big data management platform. Collibra was spun out of Vrije Universiteit in Belgium in 2008 and today it works with more than 500 enterprises and other large organizations like AWS, Google Cloud, Snowflake and Tableau. There is a ‘Renaissance’ around data and fueling artificial intelligence models,” he added.

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Artificial Inteligence Company Data Machine Learning 194

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? Machine Learning delivers on this need.

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Artificial Inteligence Machine Learning IoT Internet 98

d2iq

FEBRUARY 19, 2021

Except in many enterprises. Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself.

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Artificial Inteligence Machine Learning Technical Review Software Review 103

DataRobot

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. These accelerators are specifically designed to help organizations accelerate from data to results.

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Big Data Conference Trends Data 96

TechCrunch

JULY 6, 2022

IBM today announced that it acquired Databand , a startup developing an observability platform for data and machine learning pipelines. Databand employees will join IBM’s data and AI division, with the purchase expected to close on June 27. million prior to the acquisition.

Data 280

Data Open Source Artificial Inteligence Machine Learning 280

AWS Machine Learning - AI

AUGUST 21, 2024

Amazon DataZone makes it straightforward for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization so they can discover, use, and collaborate to derive data-driven insights. He supports enterprise customers migrate and modernize their workloads on AWS cloud.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Government Software Review 107

CIO

AUGUST 29, 2022

Becoming a sustainable enterprise is no longer a “nice to have” priority – reducing a company’s carbon footprint and fighting climate change is now mainstream. Adopting a sustainable model mindset across the enterprise fosters an environment for collaboration, innovation, and entrepreneurship.

Sustainability 146

Sustainability Enterprise Artificial Inteligence Google Cloud 146

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. AI is on a collision course with privacy. At this collision course, we should create tools” to fix that.

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Artificial Inteligence Engineering Technical Review Data 246

TechCrunch

JULY 13, 2021

Amperity, which provides a customer data platform for its businesses, has raised $100 million in funding at a valuation of over $1 billion. Quantexa raises $153M to build out AI-based big data tools to track risk and run investigations. So we thought, what if we tried to do that using machine learning?”

Hotels 245

Hotels Big Data Artificial Inteligence Machine Learning 245

TechCrunch

DECEMBER 13, 2022

Dataiku has taken a leadership position helping enterprises put massive datasets to work at unprecedented speed and creating a culture of AI focused on delivering compounding business results.” ” Dataiku, which launched in Paris in 2013, competes with a number of companies for dominance in the AI and big data analytics space.

Analytics 191

Analytics Big Data Artificial Inteligence Machine Learning 191

CIO

OCTOBER 13, 2023

As this technology becomes more popular, it’s increased the demand for relevant roles to help design, develop, implement, and maintain gen AI technology in the enterprise. According to the survey, 28% of respondents said they have hired data scientists to support generative AI, while 30% said they have plans to hire candidates.

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Company Generative AI Artificial Inteligence Machine Learning 215

Hacker Earth Developers Blog

JUNE 24, 2019

The biggest Python application currently available for the mass market is the one related to front-end tools installed on enterprise sites. . This includes tools related to the web personalization industry, retargeting, remarketing, and Big Data manipulation, which are, in fact, a massive part of this statement. .

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Industry Architecture Big Data Artificial Inteligence 174

TechCrunch

MARCH 31, 2021

Anand met them in 2013, soon after their pivot to big data and marketing, and Sequoia Capital India invested in Appier’s Series A a few months later. The company also filled its team with AI and machine learning researchers from top universities in Taiwan and the United States. Louis and Su has a M.S.

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Artificial Inteligence Machine Learning Big Data Marketing 212

TechBeacon

JANUARY 20, 2021

As in 2020, most conference organizers are once again opting to hold their events virtually, althoug some events scheduled for the latter half of the year are optimistically scheduled to be in-person events.

Conference 141

Conference Big Data Analytics Data 141

CIO

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Analytics 203

Analytics Data Analysis Business Analytics 203

TechCrunch

SEPTEMBER 29, 2021

Ted Schlein is a general partner at Kleiner Perkins and a leading expert on cybersecurity and enterprise software. Thanks to rapid advances in artificial intelligence (AI) and machine learning (ML), companies can process and interpret first-party data in real time and develop actionable behavioral intelligence.

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Artificial Inteligence Data Artificial Intelligence Machine Learning 229

TechCrunch

SEPTEMBER 20, 2022

Despite representing 10% of the world’s GDP, the tourism industry has been one of the last to embrace big data and analytics. Dunn has grand plans for the future, including using machine learning to create behavioral models that prevent “over-tourism” in particular destinations. Image Credits: Zartico.

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Tourism Travel Technical Review Big Data 240