CIO Business Intelligence

NOVEMBER 27, 2024

But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. So, before embarking on major data cleaning for enterprise AI, consider the downsides of making your data too clean. And while most executives generally trust their data, they also say less than two thirds of it is usable.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

CIO Business Intelligence

NOVEMBER 14, 2024

Such a large-scale reliance on third-party AI solutions creates risk for modern enterprises. Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. However, the road to AI victory can be bumpy.

Machine Learning 59

Machine Learning Risk Modeling Enterprise 59

CIO Business Intelligence

MAY 22, 2025

AI and machine learning models that analyze data and simulate scenarios to predict future behaviors and outcomes. These models utilize machine learning algorithms and AI techniques to predict behaviors, identify patterns and generate insights. Analytics and simulation. Visualization.

Enterprise 112

Enterprise Visualization Key Performance Indicator Machine Learning 112

CIO Business Intelligence

JANUARY 9, 2025

Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

Cloudera

DECEMBER 9, 2024

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . The post Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI appeared first on Cloudera Blog.

Machine Learning 75

Machine Learning Modeling Testing Optimization 75

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Today, enterprises are leveraging various types of AI to achieve their goals. Learn more about how Cloudera can support your enterprise AI journey here.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

Analytics Vidhya

MAY 11, 2023

In a groundbreaking move, IBM has launched Watsonx, an innovative AI platform that empowers enterprises to harness the power of artificial intelligence. With its recent announcement to replace 7,800 jobs with AI, IBM made a bold statement about the future of work.

Enterprise 307

Enterprise Analytics IT Business Analytics 307

Analytics Vidhya

APRIL 5, 2023

The latest tools will make it easier than ever for enterprises to develop and deploy advanced AI applications. Enter the Era of Generative AI With Google Cloud Google Cloud has recently unveiled its latest generative AI capabilities.

Enterprise 331

Enterprise Analytics IT Machine Learning 331

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 341

Data Science Data Lake Data mining Deep Learning 341

Analytics Vidhya

MARCH 7, 2024

Persistent Systems, a leader in Digital Engineering and Enterprise Modernization, has unveiled SASVA, an innovative AI platform poised to transform software engineering practices.

Software 336

Software Machine Learning Modeling Enterprise 336

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Machine learning operations (MLOps) and model operations for artificial intelligence (ModelOps) have become increasingly important as more companies and organizations explore how they could use machine learning.

Machine Learning 287

Machine Learning Modeling Enterprise Analytics 287

David Menninger's Analyst Perspectives

AUGUST 1, 2024

As I’ve written previously , data governance has changed dramatically over the last decade, with nearly twice as many enterprises (71% v. With all this attention on data governance, I had expected AI platform software providers would recognize the needs of enterprises and would have incorporated more AI governance capabilities.

Marketing 289

Marketing Data Governance Machine Learning Software 289

Analytics Vidhya

MAY 15, 2024

Introduction This guide primarily introduces the readers to Cohere, an Enterprise AI platform for search, discovery, and advanced retrieval. Leveraging state-of-the-art Machine Learning techniques enables organizations to extract valuable insights, automate tasks, and enhance customer experiences through advanced understanding.

Machine Learning 319

Machine Learning Enterprise Analytics Modeling 319

Analytics Vidhya

JANUARY 31, 2024

’ This innovative platform is set to revolutionize various IT environments, including telecom, enterprise, and industry, by seamlessly integrating machine learning (ML) capabilities. Jio Platforms, a subsidiary of Reliance Industries, has unveiled an innovative AI platform named ‘Jio Brain.’

Machine Learning 306

Machine Learning Enterprise Analytics IT 306

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 363

Management Machine Learning Experimentation Metrics 363

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. However, it may not be easy to access or contextualize this data, especially in enterprises.

Management 364

Management Experimentation B2B Machine Learning 364

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. What could be faster and easier than on-prem enterprise data sources? using high-dimensional data feature space to disambiguate events that seem to be similar, but are not).

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. 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 304

Testing Machine Learning Consulting Data Science 304

David Menninger's Analyst Perspectives

MAY 14, 2025

To fulfill todays data-driven agendas, many enterprises need an evolved perspective on data governance. Good data governance provides guardrails that enable enterprises to act fast while protecting the business from risks related to regulatory requirements, data-quality issues and data-reliability concerns.

Data Governance 130

Data Governance Data Quality Data-driven Metadata 130

David Menninger's Analyst Perspectives

MAY 15, 2025

Our research shows that more than half of enterprises (58%) have the majority of data platforms in the cloud, but a substantial portion is deployed on premises. Oracle was an early leader in using machine learning to provide autonomous capabilities, introducing them in 2017. Regards, David Menninger

Data Lake 130

Data Lake Data Warehouse Machine Learning Software 130

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

As enterprises seek to automate aspects of decision-making processes using AI, it is essential that they have confidence in the data upon which AI depends. To improve data reliability, enterprises were largely dependent on data-quality tools that required manual effort by data engineers, data architects, data scientists and data analysts.

Data Quality 130

Data Quality Dashboards Data-driven Machine Learning 130

David Menninger's Analyst Perspectives

MAY 20, 2025

Dedicated planning and budgeting software has been around for decades but is about to become all the more useful as software providers increasingly incorporate artificial intelligence (AI) using machine learning (ML) to assist in scenario planning. Doing so requires a planning and budgeting process thats accurate, efficient and fast.

Forecasting 130

Forecasting Software Finance Uncertainty 130

David Menninger's Analyst Perspectives

JANUARY 15, 2025

Enterprises do not operate in a vacuum, and things happening outside an organizations walls directly impact performance. So, it is essential to incorporate external data in forecasting, planning and budgeting, especially for predictive analytics and machine learning to support artificial intelligence. Regards, Robert Kugel

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

Rocket-Powered Data Science

JULY 6, 2023

The impacts are expected to be large, deep, and wide across the enterprise, to have both short-term and long-term effects, to have significant potential to be a force both for good and for bad, and to be a continuing concern for all conscientious workers. protecting enterprise leaders from getting out too far over their skis).

Enterprise 184

Enterprise Technology Deep Learning IT 184

O'Reilly on Data

JANUARY 25, 2024

O’Reilly’s Generative AI in the Enterprise survey reported that people have trouble coming up with appropriate enterprise use cases for AI. Learn from their experience to help put AI to work in your enterprise. Why is it hard to come up with appropriate use cases? Why is it hard to come up with appropriate use cases?

Machine Learning 281

Machine Learning Enterprise Reporting Risk 281

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

The company provides industry-specific enterprise software that enhances business performance and operational efficiency. Infor offers applications for enterprise resource planning, supply chain management, customer relationship management and human capital management, among others. It also offered a chatbot that utilized Amazon Lex.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

David Menninger's Analyst Perspectives

JUNE 24, 2021

Teradata introduced some enhancements to its Vantage platform last year in which they expanded its analytics functions and language support, and strengthened tools to improve collaboration between data scientists, business analysts, data engineers and business personnel.

Enterprise 253

Enterprise Analytics IT Machine Learning 253

Analytics Vidhya

SEPTEMBER 20, 2022

This article was published as a part of the Data Science Blogathon.

Machine Learning 271

Machine Learning Data Science Publishing Enterprise 271

CIO Business Intelligence

SEPTEMBER 17, 2024

CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards.

Enterprise 145

Enterprise Digital Transformation Cost-Benefit Risk 145

CIO Business Intelligence

NOVEMBER 5, 2024

Leveraging machine learning and AI, the system can accurately predict, in many cases, customer issues and effectively routes cases to the right support agent, eliminating costly, time-consuming manual routing and reducing resolution time to one day, on average. I’ll give you one last example of how we use AI to fight fraud.

B2B 132

B2B Machine Learning Technology Marketing 132

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. 3) Concept drift by COVID – as mentioned above, concept drift is being addressed in machine learning and data science projects by MLOps, but concept drift so much bigger than MLOps. will look like).

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

CIO Business Intelligence

JUNE 21, 2024

The market for enterprise applications grew 12% in 2023, to $356 billion, with the top 5 vendors — SAP, Salesforce, Oracle, Microsoft and Intuit — commanding a 21.2% IDC attributed the market growth to the adoption of AI and generative AI integrated into enterprise applications. With just 0.2% With just 0.2%

Marketing 128

Marketing Enterprise Forecasting Statistics 128

David Menninger's Analyst Perspectives

MAY 20, 2025

Additionally, as I recently explained , the companys platform addresses a broad range of capabilities that includes data governance and security, data integration and application development, as well as the automation and incorporation of artificial intelligence (AI) and machine learning (ML) models into BI and analytics.

Metrics 130

Metrics Data Governance Unstructured Data Data-driven 130

CIO Business Intelligence

NOVEMBER 27, 2024

An evolving regulatory landscape presents significant challenges for enterprises, requiring them to stay ahead of complex, shifting requirements while managing compliance across jurisdictions. This type of data mismanagement not only results in financial loss but can damage a brand’s reputation. Data breaches are not the only concern.

Data Governance 132

Data Governance Risk Insurance Metadata 132

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. And AI can help users find the appropriate data that they need from across the enterprise. generate) informative content from insights.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

CIO Business Intelligence

DECEMBER 20, 2024

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. Limit the times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility. DAMA-DMBOK 2.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122