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 90

Machine Learning Predictive Analytics Analytics Enterprise 90

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 81

Deep Learning Machine Learning Forecasting Visualization 81

datapine

MARCH 31, 2022

5) Main Challenges Of A BI Career. To understand this concept in a practical context, check out this video featuring an explanation from analyst Sonya Fournier: Now that we’ve explored BI in a real-world professional context, let’s look at the benefits of embarking on this occupation. Table of Contents. 1) Why Shift To A BI Career?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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 Uncertainty 111

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 107

Machine Learning Manufacturing Unstructured Data Modeling 107

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 75

Analytics Cost-Benefit ROI Business Objectives 75

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

Deep Learning 69

Deep Learning Experimentation Machine Learning Risk 69

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 98

Testing Data Warehouse Metrics Cost-Benefit 98

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 Experimentation Metrics 96

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 Consulting Enterprise 78

IBM Big Data Hub

FEBRUARY 23, 2024

NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. billion by 2030. What makes a good AI conversationalist?

Enterprise 103

Enterprise Interactive Data-driven Key Performance Indicator 103

IBM Big Data Hub

APRIL 18, 2024

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility.

Cost-Benefit 87

Cost-Benefit Modeling Manufacturing Interactive 87

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

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 71

Data Science Machine Learning Data-driven Modeling 71

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

datapine

NOVEMBER 27, 2019

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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 77

Analytics Risk Big Data Machine Learning 77

IBM Big Data Hub

MAY 15, 2023

The tool can help farmers improve water quality, protect biodiversity, save on fertilizer costs and make farming practices more sustainable. In an ideal situation, they would be able to track the amount of fertilizer they need in order to make the best use of their resources, helping them to save money.

Technology 80

Technology Measurement Recreation/Entertainment Optimization 80

IBM Big Data Hub

APRIL 6, 2023

And it’s just so crucial now in everyday life to know about sustainability and better yet, to practice it.” ” Cushman sees more companies using data and investing in machine learning and artificial intelligence to drive “really radical changes” in business outcomes. “The pandemic proved that.”

Optimization 62

Optimization Machine Learning Modeling Marketing 62

IBM Big Data Hub

AUGUST 23, 2023

EC2 instances are virtual machines that allow you to run your applications on AWS. In this blog post, we will explore the challenges of selecting the best Amazon EC2 instance type for your application and provide you with some best practices for how to make the right decision.

Data Processing 40

Data Processing Optimization Testing Modeling 40

Cloudera

JANUARY 24, 2022

Many organizations initiate data projects because they want to increase revenue, but a select few tackle projects that truly transform society. . All three of the 2021 finalists met those criteria by submitting projects that changed — and in some cases saved — the lives of the individuals the organizations serve. .

Data Lake 65

Data Lake Risk Machine Learning Data Collection 65

IBM Big Data Hub

MAY 17, 2023

However, managing ticket reassignments and ticket reopens is a time-consuming and complex process that requires a deep understanding of IT operations and customer support best practices. A tool like process mining can help IT operations teams save time and money and improve customer satisfaction.

Management 73

Management IT Optimization Consulting 73

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . Given this context, how can financial institutions reap the benefits of modern machine learning approaches, while still being compliant to their MRM framework?

Risk 64

Risk Modeling Machine Learning Data Quality 64

IBM Big Data Hub

JULY 26, 2023

In this blog post, we will delve into the concept of zero-based budgeting, exploring its definition, advantages, disadvantages, implementation steps, and tools needed. Learn more about IBM Planning Analytics What is Zero-Based Budgeting? Give priority to high-value activities and projects that align with strategic goals.

Cost-Benefit 59

Cost-Benefit Optimization Visualization Data-driven 59

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 101

Management Metrics Cost-Benefit Data Lake 101

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 98

Metadata Data Lake Publishing Data Governance 98

DataRobot Blog

NOVEMBER 15, 2022

At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. At the DataRobot Booth at Big Data AI World Asia 2022 Chief Data Officers data scientists and IT leaders learned the latest in AI-driven business outcomes. Explore the DataRobot platform today.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

AWS Big Data

MAY 4, 2023

Encored develops machine learning (ML) applications predicting and optimizing various energy-related processes, and their key initiative is to predict the amount of power generated at renewable energy power plants. To achieve this, you can create a new Dockerfile using a text editor on your local machine. COPY requirements.txt.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

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 125

Enterprise Consulting Modeling Cost-Benefit 125

Ontotext

APRIL 3, 2024

Read about the latest use cases and trends in the Financial Services industry and learn how Generative AI and LLMs complement with key capabilities of knowledge graphs. The business why behind knowledge graph projects Peio Popov : Welcome, everyone! They are the best.” That’s where semantics shines. Show me the ROI.”

Technology 59

Technology Risk Digital Transformation Measurement 59

IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). “Foundation models make deploying AI significantly more scalable, affordable and efficient.”

Risk 75

Risk Modeling Management Metadata 75

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 Technology 98

IBM Big Data Hub

JUNE 30, 2022

With technologies like machine learning , artificial intelligence or IoT, the resulting insights are more sophisticated and valuable, especially when woven into your organization’s processes and workflows. Learn more about how to design and implement a data strategy that takes advantage of a hybrid multicloud landscape.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. What shipping route is the most fuel efficient?

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

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

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 Modeling Deep Learning Testing 99

Alation

MARCH 29, 2022

Historian Richard Millar Devens first used the term to describe the machinations of banker Sir Henry Furnese, who collected information and acted on it quickly to outsmart his competition. During the 1990s, attempts were made to tackle challenges including: Inefficient data silos. Subscribe to Alation's Blog. Parting Words.

Business Intelligence 96

Business Intelligence Reporting Data mining Digital Transformation 96