DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. Keep an eye on the eight top trends below that we believe will be significant in the year 2022. Model developers will test for AI bias as part of their pre-deployment testing.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

IBM Big Data Hub

APRIL 12, 2022

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom. A data-literate culture.

Data Strategy 83

Data Strategy Strategy Enterprise Data-driven 83

IBM Big Data Hub

JULY 19, 2023

This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails. Content creation : Personas, user stories, synthetic data, generating images, personalized UI, marketing copy, email and social responses and more.

Consulting 64

Consulting Machine Learning Manufacturing Optimization 64

IBM Big Data Hub

NOVEMBER 30, 2023

Driven by accelerated hybrid cloud adoption and digital transformation efforts, the region is currently a beacon of innovation and a battleground for cyberthreats. eSec Forte’s SOC migrated from an existing platform to IBM Security QRadar in Q1 2022. “IBM’s deep industry expertise in security domain was a big reason.

Cost-Benefit 73

Cost-Benefit Digital Transformation Data-driven Strategy 73

IBM Big Data Hub

SEPTEMBER 15, 2023

For example, the regulated disclosures could be anything from estimates around Scope 3 emissions, to investor-grade data. The process will accelerate the pace at which ESG data will need to be collected, verified, and incorporated into these financially material investor disclosures.

Risk 79

Risk Reporting Data-driven Publishing 79

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. Content generation: The recent launch of OpenAI’s generative AI platform ChatGPT in November of 2022 has prompted a flood of new use cases for AI.

Marketing 85

Marketing Technology Advertising ROI 85

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. Data pipelines are composed of multiple steps with dependencies and triggers.

Snapshot 115

Snapshot Data-driven Optimization Management 115

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts. This is what we call the first-mile problem.

Dashboards 81

Dashboards Machine Learning Statistics KPI 81

Ontotext

JANUARY 26, 2023

In today’s world, we increasingly interact with the environment around us through data. This might include a range of tasks such as searching weather conditions on an app, looking at the temperature at home, reviewing electricity usage on a dedicated web platform, all the way to managing and utilizing data in a professional system at work.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

IBM Big Data Hub

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. How the models are stored.

Data Science 57

Data Science Machine Learning Cost-Benefit Deep Learning 57

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries.

Risk 111

Risk Modeling IT Risk Management 111

CIO Business Intelligence

JUNE 2, 2022

Among those ranked in the 59 th edition of the TOP500 announced at the 2022 International Supercomputing Conference (ISC) in Hamburg, Germany, are standouts conducting powerful research in energy generation, cyber and physical threats, and astrophysics. Plus, Canada’s most powerful supercomputer and Dell’s HPC at the edge. . HPCG [TFlop/s].

Informatics 83

Informatics Modeling Testing Technology 83

IBM Big Data Hub

JULY 7, 2023

Threats to your data are virtually everywhere these days, and too often, data compromises seem almost inevitable. But with a proactive approach to data security, organizations can fight back against the seemingly endless waves of threats. Data breaches can be disastrous for organizations.

Risk 40

Risk Data Governance Data Lake Data-driven 40

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. And how this transformation will impact businesses in the short and long run is the main discussion in this blog.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3%

Enterprise 271

Enterprise Modeling Testing Reporting 271

Cloudera

NOVEMBER 28, 2023

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential. This means you can expect simpler data management and drastically improved productivity for your business users.

Management 79

Management Cost-Benefit Data-driven Testing 79

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. Data limitations in Microsoft Excel. 25 and Oct. The culprit?

Analytics 143

Analytics Machine Learning Insurance Testing 143

O'Reilly on Data

MARCH 23, 2023

ChatGPT, or something built on ChatGPT, or something that’s like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. Unlike labels, embeddings are learned from the training data, not produced by humans. The design of Transformers lends itself to large sets of training data.

IT 262

IT Modeling Testing Risk 262

IBM Big Data Hub

DECEMBER 7, 2023

Building point-to-point integrations manually is time consuming, inefficient and costly; andorganizations need a better way to consume and share data, as well as a more flexible and agile way to add new features and solutions. Test out how they work together with the App Connect 30-day trial and the API Connect 30-day trial.

Cost-Benefit 79

Cost-Benefit Software Data-driven Management 79

IBM Big Data Hub

DECEMBER 1, 2023

To keep pace with the dynamic environment of digitally-driven business, organizations continue to embrace hybrid cloud, which combines and unifies public cloud, private cloud and on-premises infrastructure, while providing orchestration, management and application portability across all three.

Cost-Benefit 88

Cost-Benefit Data Processing Digital Transformation Testing 88

The Unofficial Google Data Science Blog

APRIL 23, 2024

This blog post discusses such a comprehensive approach that is used at Youtube. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. And we can keep repeating this approach, relying on intuition and luck.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

DataRobot Blog

MARCH 16, 2023

Data scientists run experiments. To work effectively, data scientists need agility in the form of access to enterprise data, streamlined tooling, and infrastructure that just works. We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production.

Modeling 52

Modeling Experimentation Machine Learning Data-driven 52

Alation

FEBRUARY 13, 2020

It requires organizations to adopt a scientific mindset of testing and iteration to find the truth, rather than using data to support a predetermined path. According to a new survey from NewVantage Partners , 72% of executives say they have yet to forge a data culture, let alone a customer data culture. The reason?

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. Reading through the Gartner Top 10 Trends in Data and Analytics for 2020 , I was struck by how different terms mean different things to different audiences under different contexts. Trend 2: Decline of the dashboard.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Cloudera

JUNE 30, 2022

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. Why integrate Apache Iceberg with Cloudera Data Platform?

Data Lake 84

Data Lake Data Architecture Metadata Data Warehouse 84

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 84

Data Lake Data Warehouse Marketing Management 84

Ontotext

JUNE 29, 2023

How do you think about your data? Yet when we consider the data items that represent these things, our legacy systems have led us to the limited understanding that data is made of discrete objects, which hardly interrelate. Or is it only related to the data your colleagues send to Google Merchant Feed? Probably not.

Cost-Benefit 59

Cost-Benefit Data-driven Data Quality Enterprise 59

datapine

NOVEMBER 11, 2021

a) Data Connectors Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. Your Chance: Want to take your data analysis to the next level? Table of Contents.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

DataRobot Blog

DECEMBER 15, 2022

By simplifying Time Series Forecasting models and accelerating the AI lifecycle, DataRobot can centralize collaboration across the business—especially data science and IT teams—and maximize ROI. This is where the DataRobot AI platform can help automate and accelerate your process from data to value, even in a scalable environment.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

Smart Data Collective

NOVEMBER 9, 2022

One of the biggest benefits is testing processes for optimal effectiveness. The main purpose of machine learning is to partially or completely replace manual testing. ML opens up new opportunities for computers to solve tasks previously performed by humans and trains the computer system to make accurate predictions when inputting data.

Machine Learning 98

Machine Learning Testing Cost-Benefit Data-driven 98

DataRobot

JANUARY 20, 2022

The UK Government Health and Care Bill sets up Integrated Care Systems (ICSs) as legal entities from July 2022. The following is a summary list of the key data-related priorities facing ICSs during 2022 and how we believe the combined Snowflake & DataRobot AI Cloud Platform stack can empower the ICS teams to deliver on these priorities.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

IBM Big Data Hub

DECEMBER 21, 2023

Reshoring manufacturing to the US ­ has been a significant trend in recent years, driven by geopolitical tensions, supply chain disruptions, proximity to customers and markets, eco-system synergies and the need for positive impact on the domestic economy. A robust data foundation. Digital technology integration.

Manufacturing 86

Manufacturing Cost-Benefit Machine Learning Optimization 86

IBM Big Data Hub

FEBRUARY 8, 2024

In 2022, solar photovoltaic generation reached nearly 1300 terawatt hours of electricity, up a record 26% from the year before. 2 Demand for solar energy is driven in part by companies seeking to transition to renewable energy sources to meet their ESG goals. Wind energy Humans have long used wind energy for mechanical purposes.

Manufacturing 79

Manufacturing Reporting Data-driven Technology 79

Cloudera

JANUARY 25, 2022

As roles within organizations evolve (as seen by the growth of citizen scientists and analytics engineers) and as data needs change (think schema changes and real-time), we need more intelligent ways to perform visual exploration, data interrogation, and share insights.

Visualization 87

Visualization Machine Learning Predictive Analytics Data-driven 87

Alation

JUNE 24, 2022

Last week the Alation team joined data leaders from all over the world for Snowflake Summit 2022 in Las Vegas. With over 10,000 people in attendance, it was truly an event for the entire data community. Attendees were focused on one key question: how can we put data into action and make it accessible to everyone?

Data Governance 59

Data Governance Insurance Data Processing Data Strategy 59

IBM Big Data Hub

FEBRUARY 9, 2024

2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world. The next wave of advancements will focus not only on enhancing performance within a specific domain, but on multimodal models that can take multiple types of data as input.

Cost-Benefit 105

Cost-Benefit Modeling Data-driven Enterprise 105