Cloudera

OCTOBER 11, 2022

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. It’s because of data. . Data science needs analytics.

Snapshot 89

Snapshot Data Science Digital Transformation Metadata 89

CIO Business Intelligence

SEPTEMBER 8, 2023

To address these issues, J&J launched Advance Case Management (ACM), a digitally integrated system that simplifies pre-surgery processes by utilizing case schedules and patient data. The data includes patient biometric information such as height, weight, age, and gender. Models are retrained approximately once per business quarter.

Cost-Benefit 105

Cost-Benefit Machine Learning Metrics Marketing 105

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

AWS Big Data

FEBRUARY 7, 2023

In the data analytics space, organizations often deal with many tables in different databases and file formats to hold data for different business functions. Apache Hudi supports ACID transactions and CRUD operations on a data lake. Apache Hudi tables are discovered by the AWS Glue Data Catalog and queried by Athena.

Data Lake 76

Data Lake Testing Big Data Structured Data 76

CIO Business Intelligence

MARCH 22, 2022

Prior to that, he worked at Maahi Milk Producer, KSP solutions, Magna Seatings, and Adani Group. Kamal Goel has migrated from one data centre operator to another. Before that he worked in a number of other roles in IT infrastructure and data centre planning and management. Cera Group appoints Manish Chandegara as group CIO.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany is a professional services firm that specializes in providing workforce solutions to their customers.

Dashboards 77

Dashboards Data Warehouse Visualization Data Processing 77

AWS Big Data

MARCH 17, 2023

Amazon Athena is a serverless and interactive query service that allows you to easily analyze data in Amazon Simple Storage Service (Amazon S3) and 25-plus data sources, including on-premises data sources or other cloud systems using SQL or Python. On the Amazon S3 console, choose Buckets in the navigation pane.

Visualization 95

Visualization Machine Learning Consulting Data Warehouse 95

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). Azure Text Analytics.

Deep Learning 224

Deep Learning Testing Machine Learning Modeling 224

bridgei2i

MARCH 10, 2020

My name is Aruna Babu, and I’m a transformation consultant who spent a good part of the last decade crafting strategy that marries business, technology, and user needs. Today, I’m going to be chatting with a thought leader who’s passionate about the intersections of marketing, analytics, and technology – Anand Ganesh.

Digital Transformation 52

Digital Transformation Enterprise Consulting Interactive 52

bridgei2i

MARCH 14, 2019

Moderating the discussion was Prithvijit Roy, CEO of BRIDGEi2i and the panelists were: Anees Merchant, Divesh Singla, Sameer Dhanrajani, Saraswathi Ramachandra and Vijaya Kumar Ivaturi, each a pioneer in their respective analytics domain. The event also saw conversations around the moral obligations of AI to keep data secure and unbiased.

Technology 40

Technology Contextual Data Data Processing Consulting 40

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. RAG uses data sources like Amazon Redshift and Amazon OpenSearch Service to retrieve documents that augment the LLM prompt.

Unstructured Data 66

Unstructured Data Structured Data Data Warehouse Testing 66

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Smarten

APRIL 19, 2024

In this article, we will discuss the current state of AI in analytics, as well as the future of this burgeoning industry and how it can be applied to analytics to simplify and clarify results and to make analytics easier for businesses and business users to leverage. GPT – Is based on a Large Language Model (LLM).

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

AWS Big Data

JUNE 12, 2023

Recently, we launched some new features for tables and pivot tables in QuickSight centered around interactivity and performance. These new features enabled users to alter field visibility, load tables faster, and build consistency across different interactions. Solution overview Our use case focuses on AnyHealth Inc.,

Visualization 66

Visualization Metrics Dashboards Consulting 66

CIO Business Intelligence

MAY 26, 2022

But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We Is there a model that can provide the necessary results? How can it be built?

Machine Learning 145

Machine Learning Modeling Data-driven Dashboards 145

CIO Business Intelligence

MAY 28, 2022

But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We Is there a model that can provide the necessary results? How can it be built?

Machine Learning 143

Machine Learning Modeling Data-driven Dashboards 143

AWS Big Data

NOVEMBER 14, 2023

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Every day, they receive around 300,000 new items from buyers to be added to their catalog.

Data Warehouse 59

Data Warehouse Analytics Testing Cost-Benefit 59

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Which trends do you see for 2022 in AI & ML technology and tools and tool capabilities? – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. Introduction. Leadership. In many, many ways.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. Today we have one of the most comprehensive portfolios of enterprise AI solutions available. AI is already driving results for business.

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Modeling 107

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. Why Is Modeling Important? Types of Modeling Tools.

Modeling 64

Modeling IT Risk Management Deep Learning 64

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Combined, it has come to a point where data analytics is your safety net first, and business driver second. These industries accumulate ridiculous amounts of data on a daily basis. AI Adoption and Data Strategy.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

AWS Big Data

JUNE 13, 2023

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML) powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. Create a new realm by choosing Create realm on the default realm master page. Assign a name for this new realm.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

AWS Big Data

APRIL 28, 2023

This is the second post of a three-part series detailing how Novo Nordisk , a large pharmaceutical enterprise, partnered with AWS Professional Services to build a scalable and secure data and analytics platform. At the same time, data is a strategic asset that needs to be protected with the highest degree of rigor.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. He covered examples of how his team addressed business problems with descriptive, predictive, and prescriptive ML solutions. Session Summary.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

APRIL 15, 2024

A smaller number (16% of IT leaders and 11% of LOB) sought out CIO consultation to help evaluate and advise on choices using a risk management or governance lens. Sanjeev Saturru, CIO, Casey’s Casey’s “For us, modernization and innovation are not sequential,” says The Hartford’s Soni.

Digital Transformation 130

Digital Transformation Strategy Technology Enterprise 130

bridgei2i

MARCH 3, 2021

Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Unlocking the Value of Enterprise AI with Data Engineering Capabilities. They discuss how the data engineering team is instrumental in easing collaboration between analysts, data scientists and ML engineers to build enterprise AI solutions.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

Sisense

MAY 14, 2019

I am incredibly proud and excited that Periscope Data is combining forces with Sisense in a merger that makes it possible to deliver the premier end-to-end BI and analytics platform that is unmatched in the industry. Harry and Tom had the vision to see a world where business was guided by deep and complex data-driven insights.

Data-driven 49

Data-driven Machine Learning Business Intelligence Consulting 49

CIO Business Intelligence

APRIL 12, 2022

trillion in 2021, according to financial market data provider Refinitiv. Already this year, there are numerous smaller M&A deals, as enterprise software providers buy their way into new markets or acquire new capabilities rather than develop them in house. NTT Data adds Vectorform to service portfolio.

Technology 143

Technology Enterprise Consulting Software 143

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. As with any good consulting response, “it depends.” It really does.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52