O'Reilly on Data

MARCH 26, 2024

We have many current and future copyright challenges: training may not infringe copyright, but legal doesn’t mean legitimate—we consider the analogy of MegaFace where surveillance models have been trained on photos of minors, for example, without informed consent. They are dream machines. We direct their dreams with prompts.

Modeling 322

Modeling Machine Learning Risk Advertising 322

Domino Data Lab

MAY 15, 2019

It focuses on his ML product management insights and lessons learned. If you are interested in hearing more practical insights on ML or AI product management, then consider attending Pete’s upcoming session at Rev. Machine Learning Projects are Hard: Shifting from a Deterministic Process to a Probabilistic One.

Machine Learning 111

Machine Learning Management Experimentation Data Science 111

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Adopt DataOps Practices : “Successful data engineering teams are cross-functional and adopt DataOps practices.” ” Marcus will not fix his challenges by helping his team write SQL faster.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

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 95

Machine Learning Predictive Analytics Analytics Enterprise 95

Cloudera

FEBRUARY 8, 2021

The digital revolution is making a deep impact on the automotive industry, offering practically unlimited possibilities for more efficient, convenient, and safe driving and travel experiences in connected vehicles. billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.

Machine Learning 108

Machine Learning Manufacturing Unstructured Data Data Collection 108

datapine

JANUARY 21, 2020

It provides the possibility to create smart reports with the help of modern BI reporting tools , and develop a comprehensive intelligent reporting practice. But let’s see in more detail what the benefits of these kinds of reporting practices are, and how businesses, whether small or enterprises, can develop profitable results.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses.

Deep Learning 84

Deep Learning Machine Learning Forecasting Visualization 84

Occam's Razor

MARCH 30, 2017

Machine Learning | Marketing. Machine Learning | Analytics. AlphaGo not only had to compute all the possible positions to play, but to pick the best one it also had to have some kind of intuition and strategic thinking – a challenge beyond raw compute power. Invest in continuous learning.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

CIO Business Intelligence

JULY 22, 2024

Four in 10 IT workers say that the learning opportunities offered by their employers don’t improve their job performance. Learning is failing IT. Offering practical experiences to reinforce learning content is the only way to ensure your team is ready for AI, CDKs, the IoT, and every acronym in between.

Digital Transformation 111

Digital Transformation IT Cost-Benefit Software 111

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models.

Enterprise 118

Enterprise Testing Modeling Data-driven 118

DataRobot Blog

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. Monitoring and Managing AI Projects with Model Observability. Monitoring with Machine Learning. DataRobot Booth at Big Data & AI Toronto 2022.

Big Data 96

Big Data Forecasting Machine Learning Experimentation 96

Cloudera

MAY 3, 2024

One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. In the age of information there are thousands of examples available when starting a new project. This is a standard practice, but it has some key drawbacks that don’t always get discussed.

Data Processing 71

Data Processing Machine Learning Enterprise Risk 71

Cloudera

SEPTEMBER 26, 2024

Every turn presents new challenges—whether it’s technical hurdles, security concerns, or shifting priorities—that can stall progress or even force you to start over. Cloudera recognizes the struggles that many enterprises face when setting out on this path, and that’s why we started building Accelerators for ML Projects (AMPs).

Machine Learning 77

Machine Learning Structured Data Optimization Enterprise 77

DataRobot

JUNE 29, 2021

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. Machine learning models trained on 2019 data didn’t know what to do. As part of the same process, it also generates and tests a whole host of new models and presents the top ones as recommended challengers.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

Occam's Razor

OCTOBER 24, 2016

The challenge for Senior Leaders is that revolutions seem a lot more attractive and hence they charge full speed ahead. I'll say this again at the very end… As a Marketer or an Analyst, there is nothing you'll attempt that will be more complex and challenging than what you are about to read in this post.

Metrics 147

Metrics Marketing Optimization Modeling 147

AWS Big Data

SEPTEMBER 19, 2023

However, our legacy data warehouse-based solution was not equipped for this challenge. We decided to explore streaming analytics solutions where we can capture, transform, and store event streams at scale, and serve rule-based fraud detection models and machine learning (ML) models with milliseconds latency.

Analytics 110

Analytics Risk Big Data Machine Learning 110

IBM Big Data Hub

MAY 10, 2024

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Deep learning requires a tremendous amount of computing power.

Deep Learning 101

Deep Learning Cost-Benefit Manufacturing Optimization 101

CIO Business Intelligence

OCTOBER 22, 2024

But managing multicloud environments presents unique challenges, especially when it comes to the interoperability and workload-fluidity issues at the center of more deliberate — rather than happenstance — multicloud strategies. “A The project, Cloud Interlink, is being incubated in its Juniper Beyond Labs. “We

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

IBM Big Data Hub

MARCH 6, 2024

But before we get into how generative AI tools can make an impact, let’s speak more generally about improving developer productivity with methodologies, frameworks and best practices. Project management tools, like the widely adopted Jira, track progress, manage tasks and facilitate contribution analysis.

Metrics 106

Metrics Testing Measurement Key Performance Indicator 106

Jet Global

AUGUST 14, 2020

Technologies, such as corporate tax management software, data analytics, AI, and machine learning, will have significant impacts on the tax team’s work processes moving forward, supporting more efficient and data-driven decision making. Education shows the way forward. Recruiters specify tech skills for tax roles.

Data-driven 98

Data-driven Forecasting Reporting Advertising 98

AWS Big Data

SEPTEMBER 22, 2023

If you’d like to know more background about how we use Kafka at Stitch Fix, please refer to our previously published blog post, Putting the Power of Kafka into the Hands of Data Scientists. Then, we were able to apply our learnings from the logging cluster migration to the main cluster.

Management 119

Management Metrics Cost-Benefit Data Lake 119

AWS Big Data

MAY 28, 2024

With traditional Amazon Elastic Compute Cloud (Amazon EC2) instances, each version of Flink needs to run on its own virtual machine to avoid challenges with resource management or conflicting dependencies and environment variables. To minimize the impact of Spot Instance interruptions, you should adopt Spot Instance best practices.

Data Processing 119

Data Processing Cost-Benefit Metadata Optimization 119

Domino Data Lab

OCTOBER 14, 2020

The introduction of machine learning to the agricultural domain is relatively new. To enable a digital transformation in agriculture we must experiment and learn quickly across the entire model lifecycle. Every single run of a project is recorded and recallable. Accelerating Knowledge Gain in Agriculture.

Experimentation 99

Experimentation Deep Learning Modeling Testing 99

AWS Big Data

MARCH 27, 2024

Challenges In this section, we discuss the major challenges that you may encounter while planning your POC. Scope You may face challenges during the discovery phase while defining the scope of the POC, especially in complex environments. Additionally, document any assumptions you are making.

Testing 111

Testing Data Warehouse Metrics Cost-Benefit 111

Sisense

OCTOBER 15, 2020

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. As real-time analytics and machine learning stream processing are growing rapidly, they introduce a new set of technological and conceptual challenges.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

Cloudera

SEPTEMBER 7, 2023

This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems. proprietary data, business strategies, methodologies, etc.

Insurance 83

Insurance Risk Data-driven Finance 83

IBM Big Data Hub

MARCH 2, 2022

At a time when AI is rarely used within non-profit and governmental sectors, collaborating with the team on an AI project was eye opening,” said Andrew Martinez, Principal Research Scientist with the Center for Court Innovation, “I walk away inspired to continue to explore ways to leverage AI capabilities into our work. “.

Data Science 68

Data Science Machine Learning Data-driven Modeling 68

Cloudera

OCTOBER 30, 2023

Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives. The main challenges are pointed out as a lack of resources/expertise, security, and from a different perspective, cloud cost management.

Analytics 79

Analytics Cost-Benefit ROI Business Objectives 79

DataRobot Blog

JULY 28, 2022

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. The Best Way to Achieve Both Accuracy and Cost Control. Sensor Data Analysis Examples.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

AWS Big Data

OCTOBER 4, 2023

In this blog post, we share what we heard from our customers that led us to create Amazon DataZone and discuss specific customer use cases and quotes from customers who tried Amazon DataZone during our public preview. This is challenging because access to data is managed differently by each of the tools.

Metadata 119

Metadata Data Lake Publishing Data Governance 119

Alation

AUGUST 4, 2022

Core digital transformation practices should be focused on customer and employee experiences, technology + data competitive differentiators, and business model evolution,” former CIO Isaac Sacolick advises. For modern companies awash in customer data and focused on CX, this challenge persists. These goals will evolve with time!

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95

CIO Business Intelligence

SEPTEMBER 21, 2023

AI and change management Change management has long been instrumental to the success of AI projects. But, until this year, this was a relatively manageable problem since the AI projects had limited scope. This is the largest change management project in history,” says Greenstein. This wasn’t possible before,” he says.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Cloudera

AUGUST 28, 2023

In the first article of this series, we are going to share the challenges of Enterprise adoption and propose a possible path to embrace these new technologies in a safe and controlled manner. Best of all, the AMP was built with 100% open source technology. Head to Cloudera Machine Learning (CML) and access the AMP catalog.

Enterprise 76

Enterprise Machine Learning Modeling Data Processing 76

Sisense

DECEMBER 11, 2019

In our Event Spotlight series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Ontotext

DECEMBER 1, 2023

This, of course, has its challenges and turning points, but Atanas provided solid advice for those wondering where to start at the end of his presentation. One of the major challenges, he pointed out, was costly and inefficient data integration projects. Three presentations at the KGF 2023 proved it.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Sisense

SEPTEMBER 25, 2020

Applying appropriate machine learning (ML) models: Different ML techniques are better suited for different types of problems. A regression line is the best fit straight line. Linear regression is a form of supervised learning (or predictive modeling). We can see that predicted values are close to actual values.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98