DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks.

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Risk Modeling IT Risk Management 111

Jedox

JULY 17, 2018

Many of us already profit from machine learning or artificial intelligence – often without even thinking about it. Finance in its new role, sitting at the center of data analytics, is increasingly expected to deliver the data-driven insights to guide company strategy.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

Smart Data Collective

APRIL 5, 2022

They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

Cost-Benefit 124

Cost-Benefit Machine Learning Data Science Unstructured Data 124

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)).

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Cloudera

SEPTEMBER 10, 2021

Key to harnessing the power of all that data: high-powered artificial intelligence tools, machine learning capabilities and applications capable of rapidly exposing attempts at fraud or identity theft.

Machine Learning 69

Machine Learning Statistics Data-driven Big Data 69

Smart Data Collective

MARCH 23, 2022

However, we have witnessed a significant uptick in ADA cases being filed against website owners since 2017. between Q1 of 2017 and Q1 of 2018. Use a machine learning tool to automate compliance. Of course, you also have to follow the ADA guidelines to avoid a costly lawsuit. That’s a lot of cash! Do the right thing.

Cost-Benefit 101

Cost-Benefit Data mining Sales Testing 101

Cloudera

MAY 27, 2021

Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. This could be addressed with an explanation of how a technology works — how, for instance, machine learning (ML) engines get better at their tasks by being fed gobs of data.

Machine Learning 119

Machine Learning Big Data Consulting Technology 119

Smart Data Collective

JULY 17, 2019

Big data and artificial intelligence technology is going to play an extremely important role in the near future in the future of senior care. In 2017, the number of seniors over the age of 65 reached a record 1 billion people. They use tools like Phillips Hue, which rely on machine learning to set the lights to the right level.

Cost-Benefit 84

Cost-Benefit Machine Learning Advertising IoT 84

AWS Big Data

AUGUST 7, 2023

Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. With Redshift ML, you can take advantage of Amazon SageMaker , a fully managed ML service, without learning new tools or languages.

Forecasting 84

Forecasting Data Warehouse Machine Learning Modeling 84

BizAcuity

APRIL 28, 2019

is delinquent as of June 30th, 2017. Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. Out of which, $400 billion is delinquent for more than 90 days.

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Predictive Analytics Analytics Big Data Data mining 98

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Enterprise machine learning.

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Instead, they refactored their monolithic web apps (e.g.,

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

MAY 26, 2023

According to a report on mapping the cloud maturity curve from the EIU , 48% of industry executives said cloud has improved data access, analysis and utilization, 45% say cloud has sped up delivery of new IT services and capabilities, and 44% say cloud has expanded sales channels across digital avenues. Given the rise of AI, ChatGPT and Web3.0,

Consulting 74

Consulting Cost-Benefit Optimization Machine Learning 74

IBM Big Data Hub

JULY 19, 2023

The explosion in digital data—in combination with declining availability of skilled and willing human resources to ingest and process the digital data in a compliant manner—is forcing life sciences organizations to explore AI, machine learning and now generative AI technologies.

Consulting 60

Consulting Machine Learning Manufacturing Optimization 60

Smart Data Collective

JANUARY 13, 2021

Big data has started to change the world in a lot of ways. quintillion bytes of data every single day. As scalability with big data accelerates, consumers and organizations around the world are starting to witness its impact. Every aspect of our lives has been shaped by big data to some degree.

Big Data 86

Big Data Machine Learning Data-driven Manufacturing 86

Smart Data Collective

AUGUST 5, 2020

As a rule, predictive algorithms and other AI systems that are based on machine learning apply already existing historical data sets. It depends strictly on the type and quality of data received. The key use of AI, as well as big data, is to figure out interrelations or obvious interdependency within data sets.

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Risk Statistics Machine Learning Big Data 107

IBM Big Data Hub

MARCH 8, 2024

Search and discovery AI-powered search and recommendation engines use machine learning algorithms to better capture user intent, improve search relevance, and enhance product discovery. For example, since 2017 Dominos has operated its own app for mobile devices through which customers can quickly order a pizza.

Consulting 80

Consulting Marketing Sales Data Processing 80

IBM Big Data Hub

AUGUST 1, 2023

These capabilities are especially critical for machine learning , artificial intelligence , simulation and other high-performance computing (HPC) workloads. Additionally, clients across industries are taking advantage of IBM Cloud® HPC and grid computing to innovate faster.

Digital Transformation 63

Digital Transformation Risk Data Processing Enterprise 63

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Machine learning model interpretability. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

AUGUST 8, 2019

Latest in machine learning research centers rapidly expanding in Africa? then building machine learning models to recommend methods and potential collaborators to scientists. Across the board, organizations struggle with hiring enough data scientists. Latest in quantum physics? Latest in building planetary rovers?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

FEBRUARY 4, 2019

We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.), and dig into details about where science meets rhetoric in data science. That body of work has much to offer the practice of leading data science teams. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

MAY 2, 2017

The very best analysts are know what matter’s the most are not the insights from big data but clear actions and compelling business impact from usually a smaller subset of key data. You take advantage of them by living in 2017! A quick best practice. You’ll also segment these metrics by the most important priorities.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

Cloudera

MARCH 19, 2019

Addressing real world business problems like the examples outlined below requires the application of multiple analytic functions working together on the same data, i.e., a connected data strategy: Connected and autonomous vehicles that require the application of both real-time data streaming and machine learning algorithms.

Strategy 46

Strategy Cost-Benefit Risk Marketing 46

Cloudera

OCTOBER 3, 2018

In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. We believed then, and we still believe today, that the rest of the world would need to capture, store, manage and analyze data at massive scale.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Insight

MARCH 29, 2019

solving data science problems at YP Mobile Labs, Gilt Groupe, and then Compass?—?she In late 2017, she joined the team at Hinge (“the dating app that’s designed to be deleted”) as a lead machine learning engineer and, after a year, was promoted to Director of Data Science.

Data Science 73

Data Science Management ROI Data Processing 73

Occam's Razor

FEBRUARY 28, 2017

Throw in Machine Learning and I weep at how many glorious sales, marketing, deep relationships initiatives are impossible because companies have not solved identity. This is real, from last week: " Our 2017 goal is to reduce the cost of your display campaigns by 20%. " Truly omg coolness. You, I’m talking about you!).

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

Alation

FEBRUARY 13, 2020

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

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Metadata Machine Learning Data Governance Reporting 52

Alation

FEBRUARY 20, 2020

In a nod to AC/DC, a wink to Gartner’s research report, Data Catalogs Are the New Black in Data Management and Analytics , and inspiration from the inaugural Forrester Wave : Machine Learning Data Catalogs , we have temporarily set aside our Alation orange and have been rocking “black” for the Alation MLDC World Tour.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. 1 for data analytics trends in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

JANUARY 25, 2021

We’re not pretending the frameworks themselves are comparable—Spring is primarily for backend and middleware development (though it includes a web framework); React and Angular are for frontend development; and scikit-learn and PyTorch are machine learning libraries. AI, Machine Learning, and Data.

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Machine Learning Software Testing Technology 363

DataRobot Blog

OCTOBER 3, 2017

With this integration, customers can now harness the full power of Azure’s Big Data offerings in a self-service manner to gain immediate value.”. Standard Chartered Bank (SCB), a customer of Paxata, spoke about data democratization at SCB. DataRobot Data Prep. free trial. Try now for free.

Data Lake 52

Data Lake Data Architecture Advertising Insurance 52

Occam's Razor

OCTOBER 12, 2017

Years and years of practice with R or "Big Data." The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose. The entire list of videos is well worth watching, prioritize the individual ones: Beneficial AI 2017. Intro to Machine Learning. Machine Learning.

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Marketing Analytics Machine Learning Strategy 136