CIO Business Intelligence

OCTOBER 18, 2023

based online insurer, is developing an LLM-based platform to handle customer requests with far more intelligent and enhanced chatbots. Lastly, we tapped into our data lake to enrich and tailor specific customer emails to drive the conviction of our products and ultimately increased sales. for internal enterprise exploration.

Risk 141

Risk Manufacturing Enterprise Technology 141

Andrew White

OCTOBER 24, 2019

Here is my update analysis on my 1-1’s and interactions so far: Topic: Data Governance 24. Vision/Data Driven/Outcomes 28. Modern) Master Data Management 16. Data lake 4. Data Literacy 4. Insurance 2. He is not in booth 2!!! AI/Innovation 3. AI/Automation 6. Rolls and Skills 5. IT Director 4.

Recreation/Entertainment 49

Recreation/Entertainment Data Lake IT Insurance 49

Andrew White

OCTOBER 25, 2019

Here is my final analysis of my 1-1s and interactions this week: Topic: Data Governance 28. Vision/Data Driven/Outcomes 28. Data, analytics, or D&A Strategy 21. Modern) Master Data Management 18. Data lake 4. Data Literacy 4. Insurance 3. 7.15am Head over time 1-1 booth. Higher Ed 3.

Recreation/Entertainment 40

Recreation/Entertainment IT Data Lake Data-driven 40

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Are you seeing any specific issues around the insurance industry at the moment that should concern CDAOs?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

MAY 28, 2024

For getting data from Amazon Redshift, we use the Anthropic Claude 2.0 To get data from Amazon OpenSearch Service, we chunk, and convert the source data chunks to vectors using Amazon Titan Text Embeddings model. For client interaction we use Agent Tools based on ReAct.

Unstructured Data 67

Unstructured Data Structured Data Data Warehouse Testing 67

Alation

JULY 7, 2022

Two data-driven careers. In 2013 I joined American Family Insurance as a metadata analyst. In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist.

Metadata 52

Metadata Data-driven Insurance Statistics 52

AWS Big Data

FEBRUARY 21, 2023

At the heart of all data warehousing is integration, and this layer contains integrated data from multiple sources built around the enterprise-wide business keys. Although data lakes resemble data vaults, a data vault provides more features of a data warehouse.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

IBM Big Data Hub

JULY 17, 2023

While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases. offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting.

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

Sisense

DECEMBER 11, 2019

And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI. Citing Tinder as a major example, Kyle explained how it constantly uses data to enhance users’ interactions and calibrate the user experience. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Peter James Thomas

AUGUST 12, 2018

In our modern architectures, replete with web-services, APIs, cloud-based components and the quasi-instantaneous transmission of new transactions, it is perhaps not surprising that occasionally some data gets lost in translation [5] along the way. I explore some similar themes in a section of Data Visualisation – A Scientific Treatment.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Cloudera

DECEMBER 14, 2022

The bank and its subsidiaries offer a broad array of commercial banking, specialist financial and wealth management services, ranging from consumer, corporate, investment, private and transaction banking to treasury, insurance, asset management and stockbroking services. Real-time data analysis for better business and customer solutions.

Data Strategy 77

Data Strategy Strategy IT Contextual Data 77

Cloudera

JUNE 16, 2022

The vice president of architecture and engineering at one of the largest insurance providers in Canada summed it up well in a recent customer meeting: “We can’t wait for the data to persist and run jobs later, we need real-time insight as the data flows through our pipeline. Without context, streaming data is useless.”

Data Lake 84

Data Lake Manufacturing Metadata Dashboards 84

AWS Big Data

MAY 4, 2023

The rule requires health insurers to provide clear and concise information to consumers about their health plan benefits, including costs and coverage details. The Transparency in Coverage rule also requires insurers to make available data files that contain detailed information on the prices they negotiate with health care providers.

Insurance 84

Insurance Publishing Cost-Benefit Data Lake 84

DataRobot Blog

OCTOBER 3, 2017

This highlights the two companies’ shared vision on self-service data discovery with an emphasis on collaboration and data governance. 2) When data becomes information, many (incremental) use cases surface. Standard Chartered Bank (SCB), a customer of Paxata, spoke about data democratization at SCB. DataRobot Data Prep.

Data Lake 52

Data Lake Data Architecture Advertising Insurance 52

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Data lakes don’t offer this nor should they.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52