DataRobot Blog

APRIL 21, 2022

They define it as “buying” stronger results by just throwing more compute at the model. They are used for different applications, but nonetheless they suggest that the development in infrastructure (access to GPUs and TPUs for computing) and the development in deep learning theory has led to very large models. Why should you care?

Deep Learning 145

Deep Learning Machine Learning Metrics Measurement 145

O'Reilly on Data

OCTOBER 13, 2020

For example, you can ask an ML model to make an inference on data taken from a distribution very different from what it was trained on—but that, of course, results in unpredictable and often undesired performance. One area that has received less attention is the role of an AI product manager after the product is deployed. I/O validation.

Management 314

Management Machine Learning Metrics Modeling 314

Rocket-Powered Data Science

JULY 6, 2023

It is imperative, not an option, for organizations (and for most individuals) to be aware of what is going on here—not only because it is all over the news, but because it could affect your future self. You can find my results on my Medium blog site. Guess what? And guess what? It isn’t.

Statistics 152

Statistics Deep Learning Machine Learning Enterprise 152

datapine

APRIL 14, 2022

After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. What Is An Example Of Big Data? The line is moving much quicker than expected… what gives? Discover 10. Real World Success Case. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Domino Data Lab

APRIL 29, 2021

Two examples of novel deep net architectures reviewed below both borrow heavily from the concepts of transformers and BERT-like models that lend themselves so well to transfer learning, however, they do so in a way that can be generalized to other applications like computer vision. Let’s start with the themes. Practitioners take heart.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

Cloudera

APRIL 22, 2022

This blog post was written by Dean Bubley , industry analyst, as a guest author for Cloudera. . Many previously consumer-centric operators are developing propositions for “verticals”, often combining on-site or campus mobile networks with edge computing, while integrating deeper solutions for specific industries or horizontal applications.

Enterprise 134

Enterprise Internet of Things Manufacturing Management 134

Occam's Razor

MARCH 30, 2017

What the heck is Artificial Intelligence? It is actually smarter than what you see above. On your phone, try to search for people in your lives by name, by faces, combine their name with events/things/locations and you’ll be surprised at what the AI returns. Here are the elements I’ll cover: + AI | Now | Local Maxima. +

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

IBM Big Data Hub

FEBRUARY 26, 2024

Read on to learn about what we currently know about Llama 3, and how it might affect the next wave of advancements in generative AI models. So that’s a big part of the whole open-source vision.” When will Llama 3 be released? ” Will Llama 3 be open source? Will Llama 3 be multimodal?

Modeling 117

Modeling Visualization Risk IT 117

Domino Data Lab

FEBRUARY 12, 2020

and you’re wondering what it is, this post is for you. this post on the Ray project blog ?. for model serving (experimental), are implemented with Ray internally for its scalable, distributed computing and state management benefits, while providing a domain-specific API for the purposes they serve. Diverse computing patterns?

Experimentation 137

Experimentation Modeling Data Science Machine Learning 137

Cloudera

JULY 30, 2021

His ability to think outside of the box, simplify complex technical problems and approach obstacles with a blended technologist and sales driven mindset is what makes him great at his role and what he feels would make for a successful SE at Cloudera. Meet Vinicius Cardoso, better known as Vini. . He is a Sr. says Vini. .

Sales 122

Sales Big Data Data-driven Risk 122

Ontotext

JULY 29, 2021

But what exactly are we talking about when we talk about the Semantic Web? And what are the commercial implications of semantic technologies for enterprise data? The Semantic Web started in the late 90’s as a fascinating vision for a web of data, which is easy to interpret by both humans and machines. What is it?

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Cloudera

OCTOBER 31, 2023

Our vision is to make it easier, more economical, and safer for our customers to maximize the value they get from AI. In this post, we share our vision and the integrations that are available to our customers on Cloudera Data Platform with generative AI on AWS.

Machine Learning 104

Machine Learning Cost-Benefit Modeling Interactive 104

Occam's Razor

NOVEMBER 11, 2013

It spans factory work, market research, logistics, automotive, super-computers, broadband, financial services and … I'm not sure how to describe Google, but Google. It took me more than a decade of working to discover what I was passionate about. It is not trivial to figure out what you are passionate about. ."

Finance 167

Finance Marketing Strategy IT 167

CIO Business Intelligence

APRIL 6, 2022

Recently, an increasing amount of hope is attached to edge computing. Experts agree that edge computing will play a key role in the digital transformation of almost every business. To understand how and why this is happening, let’s look back at the first wave of edge computing and what has transpired since then.

IoT 106

IoT Internet of Things Data-driven Manufacturing 106

Domino Data Lab

AUGUST 9, 2021

With the right tools, your data science teams can focus on what they do best – testing, developing and deploying new models while driving forward-thinking innovation. What Are Modeling Tools? This is no exaggeration by any means. In general terms, a model is a series of algorithms that can solve problems when given appropriate data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Cloudera

OCTOBER 5, 2020

Cloudera announced today a new collaboration with NVIDIA that will help Cloudera customers accelerate data engineering, analytics, machine learning and deep learning performance with the power of NVIDIA GPU computing across public and private clouds. With this deluge of data flooding every enterprise, what should businesses do?

Enterprise 93

Enterprise Machine Learning Deep Learning Data Science 93

CIO Business Intelligence

OCTOBER 23, 2023

Many companies are simultaneously looking to implement compute-intensive technologies like AI, which can make their sustainability efforts even more challenging. In this blog post, we’ll explore how enterprises can balance their need for sustainable operations with their need to support latency-sensitive applications.

Enterprise 125

Enterprise Digital Transformation Strategy Data Processing 125

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. This informative blog outlines how GDPR affects the practice of data science.

Machine Learning 45

Machine Learning Big Data Data Science IoT 45

CIO Business Intelligence

SEPTEMBER 14, 2023

This blog post highlights some of the key steps the enterprise architects at Discover made to ensure a successful transformation journey. Giving developers a vision of how the technology will be built and collaborating with them during every step of the process is critical to ensuring adoption of the design. Digital Transformation

Digital Transformation 106

Digital Transformation Risk Management Enterprise Technology 106

Timo Elliott

JANUARY 5, 2022

This is a English translation of an article by Thérèse van Bellinghen that first appeared on the SAP News Blog. . What is your concrete role at SAP? What would be your advice for them? What would be your advice for them? You no longer need to be a big company to have a big vision, thanks to cloud technology.

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Data Science 115

Andrew White

MARCH 18, 2022

What do we do?”. What did we do wrong?”. What Mr. Carr did at the time was conflate all of what falls under the banner, ‘IT’, as one thing. He focused on cloud computing or compute and said that, if elastic and easily accessible, it would become ubiquitous and even a commodity. COO to Consultant: “Help me!

Consulting 104

Consulting Strategy Marketing Digital Transformation 104

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. It’s included at no extra cost, customers only have to pay for the associated compute infrastructure. Part 1 in the series can be found here. .

Management 115

Management Cost-Benefit Data Transformation Optimization 115

Smart Data Collective

NOVEMBER 9, 2022

ML opens up new opportunities for computers to solve tasks previously performed by humans and trains the computer system to make accurate predictions when inputting data. Instead of specifying what the software should look for, programmers “teach” the XI using a collection of applied images. Top ML Companies.

Machine Learning 122

Machine Learning Testing Cost-Benefit Data-driven 122

datapine

AUGUST 26, 2020

Let’s kick things off by considering what a company dashboard is — or, in other words, provide an enterprise dashboard definition. What Is A Corporate Dashboard? The corporate world is fast-paced and ever-changing. That’s where corporate dashboards come in. Your Chance: Want to create your own dynamic corporate dashboard?

Dashboards 168

Dashboards Enterprise Visualization Data-driven 168

CIO Business Intelligence

FEBRUARY 14, 2023

Finally, machine learning is essentially the use and development of computer systems that learn and adapt without following explicit instructions; it uses models (algorithms) to identify patterns, learn from the data, and then make data-based decisions. What kinds of decisions are necessary to be made in real-time?

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

Jedox

MAY 14, 2020

In our previous blog post, “ The Path to Integrated Planning ,” we discussed why support from senior management as well as business partners is so important for the implementation of integrated financial planning. Define “must-have” and “nice-to-have” “What do you need?”

Digital Transformation 96

Digital Transformation Finance Consulting Sales 96

Cloudera

JULY 26, 2021

The alleviation of infrastructure and computational constraints associated with solely on-premises data platforms; Data Products can now use different deployment models (e.g., A typical example is how large Retailers enable CPG companies to gain real time visibility into consumer buying behaviour (e.g., Deep Java Learning, Apache Spark 3.x,

Strategy 119

Strategy Data Science Unstructured Data Marketing 119

Cloudera

SEPTEMBER 14, 2021

So hybrid is here to stay, and enabling you to access, manage and analyze all your data across this entire infrastructure is what CDP Hybrid is all about. They also understand what it means to stay close to their customers to develop the solutions the market needs. However, giving up the cloud entirely is unthinkable. ClouderaNOW.

Data-driven 80

Data-driven Big Data Software Marketing 80

Domino Data Lab

JANUARY 21, 2021

This blog explores the challenges associated with doing such work manually, discusses the benefits of using Pandas Profiling software to automate and standardize the process, and touches on the limitations of such tools in their ability to completely subsume the core tasks required of data science professionals and statistical researchers.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Cloudera

APRIL 19, 2021

In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. Introduction. In my case, I have selected 4 cores / 8GB RAM and 1 GPU.

Deep Learning 75

Deep Learning Machine Learning Data Science Modeling 75

Cloudera

SEPTEMBER 20, 2022

This blog is intended to serve as an ethics sheet for the task of AI-assisted comic book art generation, inspired by “ Ethics Sheets for AI Tasks.” AI-assisted comic book art generation is a task I proposed in a blog post I authored on behalf of my employer, Cloudera. Introduction. Scope, motivation, and benefits.

Deep Learning 88

Deep Learning Cost-Benefit Risk Data-driven 88

Cloudera

APRIL 11, 2023

These general-purpose M6a instances are designed specifically for balanced compute, memory and networking needs and deliver up to 10% lower cost versus comparable instances. What the competing participants delivered in the end astounded our team of judges, and they certainly didn’t make it easy to select a winner.

Forecasting 72

Forecasting Machine Learning Recreation/Entertainment Sales 72

Sisense

AUGUST 14, 2020

In Augmented Apps , we examine how product teams are exploring AI and Machine Learning to make their products more intuitive and enhance the user experience. . Artificial intelligence is transforming products in surprising and ingenious ways. It turns out that emotional reaction is an important variable in stock market behavior! .

Machine Learning 98

Machine Learning Visualization Predictive Analytics Testing 98

IBM Big Data Hub

MARCH 25, 2024

So, what is stopping companies from delivering content with generative AI across their content supply chain? Can they trust that what’s created isn’t going to break any brand guidelines? Knowing how to manifest these improvements is not always clear: Enter generative AI and the content supply chain.

Uncertainty 97

Uncertainty Cost-Benefit Risk Measurement 97

Cloudera

FEBRUARY 1, 2022

In this blog we’ll dig into how the Deep Learning for Image Analysis AMP can be reused to find snowflakes that are less similar to one another. A perfect playground for computer vision models. Okay, I admit, the title is a little click-batey, but it does hold some truth! Launch the AMP. Repurposing the AMP.

Deep Learning 111

Deep Learning Machine Learning Modeling Data Science 111

IBM Big Data Hub

SEPTEMBER 20, 2023

By combining the IBM watsonx data and AI platform capabilities for FMs with edge computing, enterprises can run AI workloads for FM fine-tuning and inferencing at the operational edge. What are large language models? FMs address two key challenges that have kept enterprises from scaling AI adoption.

Modeling 83

Modeling Enterprise Software Data Science 83

Cloudera

AUGUST 22, 2021

We’ve asked her to share her cloud vision for Cloudera in APAC and the exciting plans that she has in her new position. What drew you to work in the cloud space? So, what do you like most about the cloud? What motivates you to continue in this industry? What are some key cloud trends that you’re seeing in APAC?

Cost-Benefit 105

Cost-Benefit IoT Strategy Digital Transformation 105