IBM Big Data Hub

FEBRUARY 20, 2024

Climate modeling consists of using datasets and complex calculations to represent the interactions between major climate system components—namely, the atmosphere, land surface, oceans and sea ice. In some cases, the latter can mean rolling back older flood mitigation strategies. Global Change Research Program, 2017.

Modeling 124

Modeling Forecasting Reporting Risk 124

Cloudera

APRIL 7, 2021

A 2017 PWC survey of over 100 global insurance company CEOs revealed that the number one objective of these CEOs was to “get closer to their customers and to better understand their evolving needs.” Data — Too much and Too little. In order to get from here to there, insurance companies need to focus on data management.

Insurance 58

Insurance Digital Transformation Internet of Things IoT 58

AWS Big Data

AUGUST 21, 2023

Amazon OpenSearch Service is a managed service that makes it easy to deploy, operate, and scale OpenSearch clusters in AWS to perform interactive log analytics, real-time application monitoring, website search, and more. When working with OpenSearch Service, shard strategy is key. Gene joined AWS in 2017.

Metrics 92

Metrics Testing Strategy Metadata 92

IBM Big Data Hub

JULY 19, 2023

Other use cases where generative AI models can help life sciences organizations unleash competitive advantage are: Summarization : call center interactions, documents such as financial reports, analyst articles, emails, news, media trends and more. Conversational Knowledge: Reviews, knowledge base, product descriptions and more.

Consulting 66

Consulting Machine Learning Manufacturing Optimization 66

Smart Data Collective

JANUARY 13, 2021

Big data has started to change the world in a lot of ways. quintillion bytes of data every single day. As scalability with big data accelerates, consumers and organizations around the world are starting to witness its impact. Every aspect of our lives has been shaped by big data to some degree.

Big Data 87

Big Data Machine Learning Data-driven Manufacturing 87

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). We keep feeding the monster data. the flywheel effect.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

MAY 11, 2022

Concerning professional growth, development, and evolution, using data-driven insights to formulate actionable strategies and implement valuable initiatives is essential. Data visualization methods refer to the creation of graphical representations of information. Benefits Of Data Visualization Skills & Techniques.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Smart Data Collective

FEBRUARY 11, 2021

Data analytics is the linchpin of digital business strategies in the 21st Century. Sensible companies need to know how to properly utilize data analytics to take full advantage of all of their digital resources. The Intersection Between Data Analytics and Digital Asset Management.

Marketing 81

Marketing Data Analytics Management Analytics 81

Occam's Razor

MAY 2, 2017

The very best analysts are know what matter’s the most are not the insights from big data but clear actions and compelling business impact from usually a smaller subset of key data. I usually ask them back: What are you trying to get done with your digital strategies ? Hence that’s the macro-outcome.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

Occam's Razor

SEPTEMBER 15, 2014

Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. Create a distinct mobile website and mobile app measurement strategies. Many reasons. CEOs still don't get it.

Metrics 141

Metrics Reporting Analytics Marketing 141

Insight

MARCH 29, 2019

In a position like this, Deepna said, “your time is better spent learning business strategy” than diving deep into the hottest new algorithms. Her job requires her to switch between technical and non-technical collaboration throughout the day, constantly marrying the data science side with the business.

Data Science 73

Data Science Management ROI Data Processing 73

Domino Data Lab

AUGUST 8, 2019

Social science research—which produces outcomes such as guiding government policies — tends to use confidential data about people: medical histories, home addresses, family details, gender, sexual practices, mental health issues, police records, details you probably wouldn’t tell anyone else but your therapist, and so on. Or something.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. In 2020, BI tools and strategies will become increasingly customized.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

DataRobot Blog

OCTOBER 3, 2017

With this integration, customers can now harness the full power of Azure’s Big Data offerings in a self-service manner to gain immediate value.”. 3) Data professionals come in all shapes and forms. Paxata booth visitors encompassed a broad range of roles, all with data responsibility in some shape or form.

Data Lake 52

Data Lake Data Architecture Advertising Insurance 52

O'Reilly on Data

JANUARY 25, 2021

The data includes all usage of our platform, not just content that O’Reilly has published, and certainly not just books. We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks. The result?

Machine Learning 363

Machine Learning Software Testing Technology 363

Occam's Razor

JULY 13, 2017

The sixteen examples neatly fall into nine strategies I hope you’ll cultivate in your analytics practice as you create data visualizations: 1: The Simplicity Obsession. 4: Interactivity With Insightful End-Points. 6: Turbocharging Data Visuals with Storytelling. Strategy 1: The Simplicity Obsession.

Visualization 124

Visualization Strategy Interactive Statistics 124