Cloudera

NOVEMBER 17, 2020

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. The research team at Cloudera Fast Forward have written a report on using deep learning for anomaly detection. a Hive Table).

Deep Learning 109

Deep Learning Machine Learning Modeling Reporting 109

IBM Big Data Hub

JUNE 26, 2023

Imagine the possibilities of providing text-based queries and opening a world of knowledge for improved learning and productivity. It’s like having a conversation with a very smart machine. It uses vast amounts of internet data, large-scale pre-training and reinforced learning to enable surprisingly human like user transactions.

Risk 69

Risk Deep Learning Modeling Metadata 69

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

IBM Big Data Hub

JANUARY 25, 2024

Thankfully, customer-centric organizations have many tools, examples, and use cases at their disposal to meet the growing needs of today’s customers. For example, organizations can make it easier for prospects to learn more about available solutions so that prospects can decide whether they want to purchase them or not.

Consulting 72

Consulting Cost-Benefit Sales Strategy 72

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

bridgei2i

FEBRUARY 21, 2020

In fact, statistics from Maryville University on Business Data Analytics predict that the US market will be valued at more than $95 billion by the end of this year. Deep learning provides an edge over your competition. This can be attributed to more user-friendly AI software interfaces that can even be used by non-experts.

IoT 83

IoT Analytics Deep Learning B2B 83

IBM Big Data Hub

AUGUST 15, 2023

Tata Consultancy Services (TCS) is a global information technology services and consulting company with headquarters in Mumbai, India. TCS has deep expertise in digital and business solutions, engineering, and IT infrastructure services. TCS employs 600,000 people globally and has 150 offices in 46 countries.

Consulting 61

Consulting Cost-Benefit Digital Transformation Testing 61

Cloudera

AUGUST 25, 2020

In part II of the series, we sat down for an interview with Dr. Richard Harmon, Managing Director of Financial Services at Cloudera, to find out more about how the industry is adopting new technology. Machine Learning and AI provide powerful predictive engines that rely on historical data to fit the models.

Prescriptive Analytics 68

Prescriptive Analytics Technology Machine Learning Risk 68

Cloudera

MARCH 25, 2019

This post was originally published on the Cloudera Fast Forward Labs blog. . In recent years, machine learning technologies – especially deep learning – have made breakthroughs which have turned science fiction into reality. Autonomous cars are almost possible, and machines can comprehend language.

Machine Learning 60

Machine Learning Deep Learning Risk Enterprise 60

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started? 4) Business Intelligence Job Roles. 5) Main Challenges Of A BI Career. 6) Main Players In The BI Industry. Does data excite, inspire, or even amaze you?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Domino Data Lab

APRIL 7, 2019

Extracting accurate information from free text is a must if you are building a chatbot, searching through a patent database, matching patients to clinical trials, grading customer service or sales calls, extracting facts from financial reports or solving for any of these 44 use cases across 17 industries. Stanford CoreNLP.

Deep Learning 110

Deep Learning Machine Learning Experimentation Modeling 110

Sisense

APRIL 15, 2021

Augmented analytics (according to Gartner, which would know), uses technologies “such as machine learning [ML] and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data in analytics and BI platforms.” Analytics is the future. Simplify analytics with AI.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

Cloudera

SEPTEMBER 28, 2020

Customer A is a financial services firm running CDH 5.14.2. Modernize their architecture to ingest data in real-time using the new streaming features available in CDP Private Cloud Base in order to make the data available to their users quickly. Data Science and machine learning workloads using CDSW.

Testing 130

Testing Metadata Risk Data Science 130

Cloudera

AUGUST 20, 2020

Machine Learning (ML) and Artificial Intelligence (AI), while still emerging technologies inside of enterprise organisations, have given some companies the ability to dynamically change their fortunes and reshape the way they are doing business — that is if they are brave enough to experiment and explore the unknown.

Enterprise 120

Enterprise Experimentation Uncertainty Deep Learning 120

CDW Research Hub

JULY 19, 2022

One item you must carefully choose when designing a cloud environment is the instance type for your virtual machines (VMs). Intel has choices optimized for specific workloads such as VMware Cloud, analytics, artificial intelligence and machine learning, and instances that cover a broad range of performance and cost requirements.

Cost-Benefit 72

Cost-Benefit Optimization Testing Machine Learning 72

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. Validating Machine Learning Models.

Risk 52

Risk Modeling Metrics Business Objectives 52

CDW Research Hub

MAY 28, 2021

Trends in data storage give us insight into how the storage market is changing. A cloud environment coupled with AI learns from the data it gathers, makes predictions and troubleshoots problems before they occur. It’s no surprise that the adoption of as a Service (aaS) models continues to be a hot trend. Flash storage .

Optimization 52

Optimization Deep Learning Enterprise Software 52

Cloudera

DECEMBER 10, 2020

Many tasks that often require expensive technical help are now self-service because it leverages the elastic cloud-native capabilities of CDP. So, for example, assume your data warehouse service costs $0.72 / hour per compute instance, the associated cloud hardware costs $1.44 / hour per compute instance and storage costs $15 / TB per month.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

BizAcuity

APRIL 6, 2022

Similarly, crypto gaming is a term used for casino games that let you place wagers using popular cryptocurrencies. And hence, cryptocurrencies are going to be a major payment gateway for casinos, as a significant share of their players prefer wagering using crypto instead of fiat currency. What are Crypto Casinos.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Connect Products and Services: Toshiba Memory Corporation .

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

BizAcuity

APRIL 25, 2022

The US is closing in fast now. In 2018, the US Supreme Court’s decision to legalize sports betting was historic. According to Statista, the US online gambling market is expected to reach $93 billion by 2023 from $67 billion in 2022. . Millennials spend more on non-gaming services compared to boomers. Player Churn.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Occam's Razor

JUNE 4, 2018

Deep breath. Yes, that additional $6 mil is not as hard to accomplished for an imaginative focused team – in fact you can get that from implementing half of the recommendations in this blog post. There are numerous subtle issues as well. One strategic issue is illustrated by Timbuk2. Yet, when I want to pay full price on www.timbuk2.com

Strategy 124

Strategy Cost-Benefit Testing Sales 124

CDW Research Hub

MAY 24, 2019

From availability and scalability to the ease of provisioning, the cloud can help organizations leverage many different resources as a service. Whether it’s a virtual machine, an app service or a function, there is a little something for everybody. Azure Stack: Use Cases and Workloads. What exactly is Azure Stack?

Data Processing 40

Data Processing Management Modeling Strategy 40

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

O'Reilly on Data

OCTOBER 13, 2020

In contrast, many production AI systems rely on feedback loops that require the same technical skills used during initial development. This distinction assumes a slightly different definition of debugging than is often used in software development. The field of AI product management continues to gain momentum. Debugging AI Products.

Management 244

Management Metrics Machine Learning Modeling 244

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. .

Testing 307

Testing Machine Learning Consulting Data Quality 307

O'Reilly on Data

NOVEMBER 28, 2023

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed. What’s the reality? Certainly not two-thirds of them.

Enterprise 271

Enterprise Modeling Testing Reporting 271

IBM Big Data Hub

FEBRUARY 19, 2024

Data monetization empowers organizations to use their data assets and artificial intelligence (AI) capabilities to create tangible economic value. This value exchange system uses data products to enhance business performance, gain a competitive advantage, and address industry challenges in response to market demand. from 2024 to 2032.

Cost-Benefit 68

Cost-Benefit Data-driven Optimization Marketing 68

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.

Management 363

Management Experimentation B2B Machine Learning 363

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. In this tutorial, we will illustrate how RAPIDS can be used to tackle the Kaggle Home Credit Default Risk challenge. Introduction. Get the Dataset.

Machine Learning 136

Machine Learning Data Science Data Lake Modeling 136

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. People selling information.

Data Governance 71

Data Governance Strategy Enterprise Machine Learning 71

IBM Big Data Hub

APRIL 18, 2023

Major industries, such as financial services, healthcare, retail and telecom and media, made their initial leap to cloud over a decade ago. Ecosystem partnerships provide value to clients IBM’s deep commitment to an open ecosystem perspective also includes leveraging our ecosystem technology partnerships.

Technology 72

Technology Consulting IoT Digital Transformation 72

IBM Big Data Hub

NOVEMBER 14, 2023

Why data monetization matters According to McKinsey in the Harvard Business Review , a single data product at a national US bank feeds 60 use cases in business applications, which eliminated $40M in losses and generates $60M incremental revenue annually. Creating value from data involves taking some action on the data.

Strategy 110

Strategy Cost-Benefit Data-driven Measurement 110

IBM Big Data Hub

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

Risk 98

Risk Modeling Cost-Benefit Enterprise 98

IBM Big Data Hub

APRIL 15, 2024

Data virtualization bridges this gap, allowing organizations to use their existing data sources with flexibility and efficiency for AI and analytics initiatives. With the rise of generative AI chatbots, foundation models now use this rich data set.

Analytics 69

Analytics Optimization Data-driven Metrics 69