CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). We have cataloging inside Datasphere: It allows you to catalog, manage metadata, all the SAP data assets we’re seeing,” said JG Chirapurath, chief marketing and solutions officer for SAP. “We

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

CIO Business Intelligence

AUGUST 1, 2023

The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. Define a game-changing LLM strategy At a recent Coffee with Digital Trailblazers I hosted, we discussed how generative AI and LLMs will impact every industry.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

IBM Big Data Hub

OCTOBER 3, 2023

And this year, ESPN Fantasy Football is using AI models built with watsonx to provide 11 million fantasy managers with a data-rich, AI-infused experience that transcends traditional statistics. These applications are all hosted on the IBM Cloud to ensure uninterrupted availability. But numbers only tell half the story.

Modeling 90

Modeling Statistics Consulting Unstructured Data 90

CIO Business Intelligence

OCTOBER 11, 2023

To overcome these challenges, energy companies are increasingly turning to artificial intelligence (AI), particularly generative AI large language models (LLM). First, AI is improving weather models so that utilities can have a better idea of where disaster might strike. Today, over 70% of the U.S. How can AI and generative AI help?

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

AWS Big Data

SEPTEMBER 12, 2024

We use leading-edge analytics, data, and science to help clients make intelligent decisions. We developed and host several applications for our customers on Amazon Web Services (AWS). In the pipeline, the data ingestion process takes shape through a thoughtfully structured sequence of steps.

Unstructured Data 109

Unstructured Data Metadata Machine Learning Consulting 109

CIO Business Intelligence

OCTOBER 2, 2024

As the world moves toward a cashless economy that includes electronic payments for most products and services, financial institutions must also deal with new risk exposures presented by mobile wallets, person-to-person (P2P) payment services, and a host of emerging digital payment systems. Is it wholly and easily auditable?

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

CIO Business Intelligence

FEBRUARY 10, 2023

Deploying new data types for machine learning Mai-Lan Tomsen-Bukovec, vice president of foundational data services at AWS, sees the cloud giant’s enterprise customers deploying more unstructured data, as well as wider varieties of data sets, to inform the accuracy and training of ML models of late.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

CIO Business Intelligence

SEPTEMBER 30, 2024

She points to a recent initiative in which the job matching and hiring platform company started using large language models (LLMs) to add a highly customized sentence or two to the emails it sends to job seekers about open positions that match their qualifications. They used OpenAI as a back end and its API to push and pull data.

Machine Learning 141

Machine Learning ROI Data Processing Optimization 141

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

Unstructured Data 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90

IBM Big Data Hub

MAY 19, 2023

According to the research, organizations are adopting cloud ERP models to identify the best alignment with their strategy, business development, workloads and security requirements. Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center.

Unstructured Data 74

Unstructured Data Data Processing Manufacturing Data Lake 74

erwin

SEPTEMBER 16, 2024

Continue to conquer data chaos and build your data landscape on a sturdy and standardized foundation with erwin® Data Modeler 14.0. The gold standard in data modeling solutions for more than 30 years continues to evolve with its latest release, highlighted by: PostgreSQL 16.x

Modeling 52

Modeling Visualization Data Governance Data Architecture 52

Cloudera

AUGUST 8, 2024

Cloudera is excited to announce a partnership with Allitix, a leading IT consultancy specializing in connected planning and predictive modeling. This facilitates improved collaboration across departments via data virtualization, which allows users to view and analyze data without needing to move or replicate it.

Enterprise 72

Enterprise Predictive Modeling Cost-Benefit Unstructured Data 72

datapine

NOVEMBER 19, 2019

This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Thus, deep nets can crunch unstructured data that was previously not available for unsupervised analysis.

Technology 279

Technology Internet of Things IT IoT 279

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Limited flexibility to use more complex hosting models (e.g.,

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset.

Data Lake 103

Data Lake Cost-Benefit Unstructured Data Modeling 103

CIO Business Intelligence

JUNE 14, 2023

How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

AWS Big Data

JUNE 18, 2024

Amazon Titan Multimodal Embeddings G1 is a multimodal embedding model that generates embeddings to facilitate multimodal search. When you use the neural plugin’s connectors, you don’t need to build additional pipelines external to OpenSearch Service to interact with these models during indexing and searching.

Dashboards 109

Dashboards Metadata Modeling Visualization 109

BizAcuity

NOVEMBER 26, 2019

It provides a host of security features. Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information. It is widely used for modeling and structuring of unshaped data.

Recreation/Entertainment 84

Recreation/Entertainment Reporting Interactive Data Processing 84

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.

Metadata 113

Metadata Modeling Data Processing Unstructured Data 113

Sisense

OCTOBER 6, 2020

These techniques allow you to: See trends and relationships among factors so you can identify operational areas that can be optimized Compare your data against hypotheses and assumptions to show how decisions might affect your organization Anticipate risk and uncertainty via mathematically modeling.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Sisense

AUGUST 18, 2019

You might lose some data that way, but it can be good for users who are less worried about persisting their data. You can choose to route data to a JSON column, allowing you to model it later, or you can put it into an SQL-schema table, all within the same Postgres database. Are you using static JSON data?

Unstructured Data 81

Unstructured Data Data Processing Dashboards Testing 81

Cloudera

SEPTEMBER 1, 2020

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). What does DDE entail? Provides perimeter security.

Snapshot 71

Snapshot Unstructured Data Dashboards Interactive 71

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Introduction.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

CIO Business Intelligence

JULY 14, 2023

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. But many organizations are limiting use of public tools while they set policies to source and use generative AI models.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

Cloudera

OCTOBER 7, 2021

The need for a decentralized data mesh architecture stems from the challenges organizations faced when implementing more centralized data management architectures – challenges that can attributed to both technology (e.g., need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 117

Data Lake Sales Data Warehouse Snapshot 117

Ontotext

NOVEMBER 22, 2020

Semantic Objects and the Semantic Objects Modeling Language (SOML) is a simple way to describe business objects or domain objects. The Platform is able to generate the initial Semantic Objects model, which can be modified and extended by the business user without having to work directly with the underlying knowledge graphs.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

IBM Big Data Hub

FEBRUARY 2, 2023

Cloud warehouses also provide a host of additional capabilities such as failover to different data centers, automated backup and restore, high availability, and advanced security and alerting measures. Additionally, some DBAs worry that moving to the cloud reduces the need for their expertise and skillset.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

DataRobot

SEPTEMBER 14, 2021

DataRobot AI Cloud brings together any type of data from any source to give our customers a holistic view that drives their business: critical information in databases, data clouds, cloud storage systems, enterprise apps, and more. Unified, End-to-End Platform Across the AI Lifecycle. Deployed and Operated Anywhere, At Scale.

Unstructured Data 52

Unstructured Data Data-driven Data Processing Machine Learning 52

Ontotext

MAY 25, 2023

This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases. During the conference, the organizers hosted a separate track called the Healthcare and Life Sciences Symposium. Knowledge graphs will continue to be essential for AI in the era of ChatGPT and LLM.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Cloudera

AUGUST 31, 2020

On Cloudera’s platform, SMG Data Scientists have fast and easy access to the data they need to be able to unleash a host of functions, particularly Predictive Analytics, as the data ingested can now be simultaneously used for ad-hoc analytics as well as for running AI/ML tools.

Management 66

Management Slice and Dice Data Warehouse Analytics 66

BizAcuity

NOVEMBER 27, 2019

It provides a host of security features. Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information. It is widely used for modeling and structuring of unshaped data.

Recreation/Entertainment 52

Recreation/Entertainment Reporting Interactive Data Processing 52

BizAcuity

NOVEMBER 27, 2019

It provides a host of security features. Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information. It is widely used for modeling and structuring of unshaped data.

Recreation/Entertainment 52

Recreation/Entertainment Reporting Interactive Data Processing 52

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Pre-Check: Data Lake Cluster.

Data Lake 73

Data Lake Metadata Unstructured Data Management 73

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 85

Data Lake Testing Interactive Unstructured Data 85