Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

Corinium

JUNE 6, 2019

In summary, Insurance carriers and brokers will need to ensure a sound data foundation and a smart use of the cloud to harness the value of the large amounts of disparate types of data. Analytics is a powerful capability enabler to help Insurers transform their operations and services.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

erwin

JANUARY 30, 2020

The 2020 State of Data Governance and Automation (DGA) report is a follow-up to an initial survey we commissioned two years ago to explore data governance ahead of the European Union’s General Data Protection Regulation (GDPR) going into effect. 1 reason to implement data governance. Stop Wasting Your Time.

Data Governance 145

Data Governance Metadata Digital Transformation Cost-Benefit 145

Smart Data Collective

OCTOBER 13, 2020

Data analytics has been the basis for the cryptocurrency market for years. In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. They found that predictive analytics algorithms were using social media data to forecast asset prices.

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Marketing 100

Cloudera

AUGUST 17, 2020

The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics and edge computing. In many established markets, traditional sources of revenue are either plateauing or declining relatively rapidly. .

IoT 93

IoT Internet of Things B2B Data-driven 93

Cloudera

SEPTEMBER 24, 2021

Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 91

Analytics IoT Cost-Benefit Big Data 91

Smart Data Collective

AUGUST 7, 2019

Exactly one year ago today, SNS Telecom & IT published a report highlighting the demand for big data in the insurance industry. billion on big data in 2018 alone. However, the report didn’t go into the nuances of the types of insurance that are affected by big data. The report showed that insurers spent $2.4

Big Data 76

Big Data Insurance Cost-Benefit Risk 76

CIO Business Intelligence

MARCH 31, 2023

The exam will test your knowledge in seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. The exam was developed using the Agile Extension to the BABOK guide and was released in May 2018.

Business Analysis 104

Business Analysis Testing Business Analytics Statistics 104

Cloudera

SEPTEMBER 8, 2020

The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics, and edge computing. In many established markets, traditional sources of revenue are either plateauing or declining relatively rapidly. .

IoT 66

IoT Internet of Things B2B Data-driven 66

Cloudera

JANUARY 24, 2022

The company used Cloudera Data Science Workbench to create data-centric applications and solutions. With an AI-powered credit scoring and risk model, they were able to more accurately determine which loans to approve. And in 2018, opioids were involved in two-thirds of the deaths attributed to drug overdose.

Data Lake 65

Data Lake Risk Machine Learning Data Collection 65

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. General Data Protection Regulation (GDPR) and Data Science. This informative blog outlines how GDPR affects the practice of data science. First, GDPR imposes limits on data processing and consumer profiling.

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

Jedox

JULY 17, 2018

After all, turning huge masses of data into actionable knowledge is still challenging. According to Forrester’s 2018 predictions for AI*, 70% of enterprise expect to implement AI over the next 12 months. Forbes 2018, 10 Predictions For AI, Big Data, And Analytics in 2018.

Machine Learning 46

Machine Learning Technology Digital Transformation Predictive Analytics 46

Smart Data Collective

JULY 10, 2019

The market for big data analytics in healthcare is massive. We can look abroad to see the implicatinos of big data in the healthcare system. . With ‘big data’, the idea is to foster a culture of measurement in hospitals. . Challenges of using big data in healthcare.

Big Data 69

Big Data Measurement Predictive Modeling Manufacturing 69

BizAcuity

APRIL 25, 2022

In 2018, the US Supreme Court’s decision to legalize sports betting was historic. Thanks to data analytics, these decisions can now be backed by data. Real-time decisions can be taken in line with data insights. In studying customer behavior, an AI model is trained to identify the right offer for the right player.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Data-driven strategies are driving change across organizations.

Digital Transformation 65

Digital Transformation Consulting Machine Learning IoT 65

Jet Global

APRIL 16, 2020

Hospitals and health systems are facing a critical challenge to both operations and overall business models. To succeed in this changing scenario, organizations need more data analytics tools and better patient billing techniques. percent in 2018, against a sustainable rate of 2.5 Finance Practices Reimagined.

Finance 59

Finance Insurance Reporting Operational Reporting 59

Domino Data Lab

JANUARY 6, 2019

Also, clearly there’s no “one size fits all” educational model for data science. Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. Many thanks to Lorena Barba, et al.,

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Cloudera

AUGUST 2, 2018

It goes unnoticed but cyber threats are routinely hunted down by correlating hundreds of attributes from disparate data sources – even as data types and formats evolve. Data teams in these insurance firms are leading the charge in rebuilding entire business models around data and analytics.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

CIO Business Intelligence

FEBRUARY 22, 2023

For others such as Brian Ferris, chief data, analytics, and technology officer at loyalty, marketing, and data analytics consulting firm Loyalty NZ, leading IT abroad was about “gaining huge value in seeing different issues and learning different ways of approaching problems, something that can’t be learnt out of a book.”

IT 98

IT Technology Strategy Consulting 98

Hurwitz & Associates

JUNE 28, 2018

IBM invited dozens of CDOs to meet, in a San Francisco conference (LINK), to share best practices for building consistent data platforms across their organization. IBM’s own data practices have served as a model for this approach to enterprise-wide data gathering, data storage, data management and analytics.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. They may also suffer from data duplication, which undermines their analytics models.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

FEBRUARY 1, 2024

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. This is where model fine-tuning can help. Before you can fine-tune a model, you need to find a task-specific dataset. Next, we use Amazon SageMaker JumpStart to fine-tune the Llama 2 model with the preprocessed dataset.

Modeling 94

Modeling Metadata Data Processing Unstructured Data 94

CIO Business Intelligence

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 123

Data Lake IT Experimentation Data-driven 123

AWS Big Data

DECEMBER 8, 2023

In 2021, FanDuel’s workloads almost tripled since they first started using Amazon Redshift in 2018, and they started evaluating Redshift RA3 nodes vs. DC2 nodes to take advantage of the storage and compute separation and deliver better performance at lower costs. He has a keen interest in data analytics as well.

Data Warehouse 66

Data Warehouse Cost-Benefit KPI Risk 66

O'Reilly on Data

SEPTEMBER 11, 2019

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2 in frequency in proposal topics; a related term, “models,” is No. An ML-related topic, “models,” was No. 221) to 2019 (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

CIO Business Intelligence

FEBRUARY 17, 2023

When Seeripat joined the organisation in 2018, having been the global IT delivery director at multi-national consumer products manufacturer Kimberly-Clark, IT was seen as a back-office cost centre. It’s about driving a data-driven decision-making culture.

IT 105

IT Manufacturing Finance Sales 105

Domino Data Lab

AUGUST 8, 2019

Across the board, organizations struggle with hiring enough data scientists. Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

DataKitchen

NOVEMBER 20, 2021

Errors are an inherent part of data analytics. The product for a data engineer is the data set. For an analyst, the product is the analysis that they deliver for a data object. Let’s say a data scientist has developed a model that works perfectly with training data. Curating Processes.

Testing 246

Testing Machine Learning Data Warehouse Analytics 246

DataRobot

DECEMBER 6, 2021

Similarly in 2018, the ECP AI Code of Conduct working group published its Artificial Intelligence Impact Assessment standard, containing nine ethical principles, ten rules of practice, and dozens of self-assessment questions in its checklist. AIDA-driven decisions are regularly reviewed so that models behave as designed and intended.

Data-driven 52

Data-driven Risk Publishing Modeling 52

Alation

JULY 7, 2022

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. degrees in Data Engineering over the past 2 years, while others have expanded existing M.S.

Metadata 52

Metadata Data-driven Insurance Statistics 52

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. 2018: IoT and edge computing open up new opportunities for organizations. To be continued.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Cloudera

JANUARY 22, 2019

It enables orchestration of data flow and curation of data across various big data platforms (such as data lakes, Hadoop, and NoSQL) to support a single version of the truth, customer personalization, and advanced big data analytics. Shared Data Catalog to preserve context and enforce Governance.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Cloudera

FEBRUARY 11, 2019

The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer). A model deployment must be transparent and consistent.

Digital Transformation 57

Digital Transformation Data Governance Data Warehouse Data-driven 57

Cloudera

DECEMBER 12, 2018

I was actually a strong believer in that approach, having spent eight years at Oracle and worked with relational data, I understood that there is a lot to borrow from RDBMS technologies and theories, and a lot of advancements that could be made. And it [MPP] is a much more efficient execution model. you name it.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

Birst BI

MAY 14, 2019

Cloud, digital transformation, mergers and acquisitions, big data analytics, data monetization, and more are all critical business initiatives creating an even greater divide between centralized IT and decentralized analytic teams in the business. What is unique about Birst 7 in the BI market today?

Analytics 9

Analytics Key Performance Indicator Business Intelligence Visualization 9

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52