DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Learn more about DataRobot hosted notebooks. Learn more at DataRobot.com/Snowflake.

Exploratory Data Analysis 72

Exploratory Data Analysis AI AI ML 72

IBM Journey to AI blog

JANUARY 23, 2023

Ensure data quality Regularly check your data for accuracy and completeness. Break down data silos Data silos are the bane of any data governance program. If you’d like to explore more about data governance now, we recommend you check out The Data Differentiator.

Data Governance 73

Data Governance Data Silos Data Quality AI 73

Dataversity

MARCH 15, 2023

With its numbers, characters, facts, and statistics – the operations performed, stored, and analyzed – data has become an irreplaceable facet of daily life. We use data to identify strengths and weaknesses. It helps […] The post Is Data the Achilles Heel of AI? appeared first on DATAVERSITY.

AI 98

AI AI Data Silos ML 98

Ocean Protocol

DECEMBER 11, 2023

Sell data NFTs. Transfer data NFTs & datatokens. This has many applications, from decentralized marketplaces to peer-to-peer platforms and AI-generated art. Sell datatokens for a fixed price. For more inspiration, you can check out these examples.

Data Silos 105

Data Silos Data Science AI AI 105

DataRobot Blog

AUGUST 16, 2022

If you’ve been keeping up with business literature lately, you know that adopting artificial intelligence (AI) strategies can increase company revenue, improve efficiency, and keep customers happy. Companies using Data/MLOps tools do particularly well in versioning and creating documentation, providing management frameworks, and testing.

DataOps 52

DataOps AI AI ML 52

Precisely

JUNE 2, 2023

Innovators in the industry understand that leading-edge technologies such as AI and machine learning will be a deciding factor in the quest for competitive advantage when moving to the cloud. Forbes reports that 84% of CEOs are concerned about the integrity of the data they use to make important decisions every day.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

IBM Data Science in Practice

APRIL 26, 2024

Photo by Tim van der Kuip on Unsplash In the era of digital transformation, enterprises are increasingly relying on the power of artificial intelligence (AI) to unlock valuable insights from their vast repositories of data. Within this landscape, Cloud Pak for Data (CP4D) emerges as a pivotal platform.

SQL 130

SQL Data Quality Data Governance Data Scientist 130

Smart Data Collective

JUNE 3, 2019

The promise of significant and measurable business value can only be achieved if organizations implement an information foundation that supports the rapid growth, speed and variety of data. This integration is even more important, but much more complex with Big Data. AI tools also look at equity value. Equity Amount.

Big Data 73

Big Data Big Data Data Silos AI 73

IBM Journey to AI blog

JANUARY 25, 2023

While operational data runs day-to-day business operations, gaining insights and leveraging data across business processes and workflows presents a well-known set of data governance challenges that technology alone cannot solve. Silos exist naturally when data is managed by multiple operational systems.

Data Governance 52

Data Governance Data Silos Data Quality Analytics 52

IBM Journey to AI blog

JANUARY 15, 2024

Ltd (BoB-Cardif Life) partnered with IBM® Using IBM Client Engineering methods and introducing AI-powered process mining product IBM Process Mining. This partnership establishes a benchmark for digital transformation in the insurance industry, promoting innovation and achieving cost efficiency through AI-powered business automation.

Data Silos 76

Data Silos AI AI Artificial Intelligence 76

Ocean Protocol

JANUARY 5, 2023

The hackathon is a strategic initiative to engage the global data science community to defend Web3 from Sybil attacks and data centralization. Ocean Protocol , the decentralized data exchange unlocking data for AI, joins forces with the Gitcoin-founded OpenData Community to launch the DataBuilders hackathon.

Data Silos 52

Data Silos Data Scientist Algorithm Data Science 52

IBM Data Science in Practice

NOVEMBER 28, 2022

Insights from data gathered across business units improve business outcomes, but having heterogeneous data from disparate applications and storages makes it difficult for organizations to paint a big picture. How can organizations get a holistic view of data when it’s distributed across data silos?

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

Ocean Protocol

MARCH 7, 2023

You can use any data you wish — static data or streams, free or priced, raw data or feature vectors, published in Ocean or not. We included links to some data feeds and AI modeling approaches that you may find helpful in the challenge’s README.

Data Scientist 52

Data Scientist Data Silos Data Science Python 52

Women in Big Data

FEBRUARY 1, 2023

Colleen Arend , Principal Online Marketing Manager for One Data and volunteer for Women in Big Data Munich. Meet Laura Traverso , a Principal AI Solution Architect at One Data. With a background in mathematics and a passion for data and technology, she has built a successful career in the field of big data.

Big Data 52

Big Data Big Data Data Quality Data Silos 52

Precisely

FEBRUARY 12, 2024

Here are some of the key trends and challenges facing telecommunications companies today: The growth of AI and machine learning: Telecom companies use artificial intelligence and machine learning (AI/ML) for predictive analytics and network troubleshooting.

Data Governance 64

Data Governance Analytics Analytics Machine Learning 64

ODSC - Open Data Science

JULY 13, 2023

A machine learning scientist or artificial intelligence (AI) technology is an excellent candidate for the role. Quality Most retailers have dealt with irrelevant results even when using automatic processing systems like AI. A retailer must connect data silos across the entire organization for proper consolidation.

Data Science 52

Data Science Machine Learning Machine Learning Data Silos 52

Precisely

JANUARY 17, 2023

Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency. AI and machine learning initiatives play an increasingly important role. With these goals in mind, access to accurate, consistent, and contextual information is critical.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97

Pickl AI

APRIL 24, 2023

Moreover, it works seamlessly with advanced technologies like AI and ML. Meta, Target and others that actively handle large volumes of data use this platform. Data is the most important asset for any organisation. And so losing the data can create problems as it hinders the process of collecting valuable insights.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

IBM Journey to AI blog

JANUARY 5, 2023

Critical capabilities of modern high-quality data quality management solutions require an organization to: Enforce data governance across an organization by augmenting manual data quality processes with metadata and AI-related technologies. Perform data quality monitoring based on pre-configured rules.

Data Quality 52

Data Quality Data Lakes Data Warehouse Business Intelligence 52

Alation

OCTOBER 5, 2021

Without a doubt, no company can achieve lasting profitability and sustainable growth with a poorly constructed data governance methodology. Today, all companies must pursue data analytics, Machine Learning & Artificial Intelligence (ML & AI) as an integral part of any standard business plan. Data governance and AI.

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

IBM Journey to AI blog

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization.

Analytics 72

Analytics Analytics Data Silos AI 72

IBM Journey to AI blog

OCTOBER 13, 2023

In addition, digital transformation initiatives have created the proliferation of applications, creating data siloes. Unforeseen economic disruptions, shifting market trends, and rapidly changing customer behavior all have the potential to drastically affect your business initiatives—unless you can stay on top of them.

Data Silos 75

Data Silos Data Analysis Data Analysis Algorithm 75

Becoming Human

MARCH 16, 2023

AI drug discovery is exploding. Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. AI has already helped identify promising candidate therapeutics, and it didn’t take years but months or even days. We will look at success stories, AI benefits, and limitations.

AI 139

AI AI Artificial Intelligence Artificial Intelligence 139

Ocean Protocol

APRIL 14, 2023

In this challenge, participants not only estimate NFT floor prices, but also showcase their AI skills. Contestants must perform an exploratory analysis on provided or participant-found data and building a machine-learning model that predicts the floor price of an NFT.

Machine Learning 59

Machine Learning Machine Learning Data Silos Analytics 59

Dataversity

FEBRUARY 17, 2022

With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite.

Machine Learning 52

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 52

IBM Journey to AI blog

FEBRUARY 2, 2023

This functionality provides access to data by storing it in an open format, increasing flexibility for data exploration and ML modeling used by data scientists, facilitating governed data use of unstructured data, improving collaboration, and reducing data silos with simplified data lake integration.

Data Warehouse 57

Data Warehouse Cloud Data Database Analytics 57

ODSC - Open Data Science

SEPTEMBER 29, 2023

A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. The data lake can then refine, enrich, index, and analyze that data. Interested in attending an ODSC event?

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

Precisely

MARCH 4, 2024

What if every decision, recommendation, and prediction made by artificial intelligence (AI) was as reliable as your most trusted team members? This isn’t a distant dream – it’s a tangible reality with trusted AI. But how can you make sure your AI can be trusted? Remember some of the newsworthy AI mishaps of 2023?

AI 72

AI AI Data Quality Artificial Intelligence 72

Precisely

JANUARY 25, 2023

Financial institutions are using data in a myriad of different ways, from know-your-customer (KYC) compliance to marketing insights and channel optimization, from risk assessment and fraud detection to innovative AI and machine learning initiatives. Risk management professionals depend on high data integrity to support sound decisions.

Data Quality 52

Data Quality Machine Learning Machine Learning Data Silos 52

Pickl AI

APRIL 14, 2023

The Data Platform can be: On-premises Cloud-based Hybrid Data Platforms are incredibly useful for enterprise management in several ways: Ref: [link] Integration and Consolidation These platforms help in organizing and integrating data from different sources. appeared first on Pickl AI.

Data Governance 52

Data Governance Data Quality Data Silos Analytics 52

Pickl AI

DECEMBER 4, 2023

Imagine this: we collect loads of data, right? Data Intelligence takes that data, adds a touch of AI and Machine Learning magic, and turns it into insights. It’s not just about having data; it’s about turning that data into real wisdom for better products and services. These insights?

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

phData

JULY 14, 2023

Snowflake’s Data Cloud revolutionizes data management by eliminating data silos and consolidating all your data into a unified repository. However, the deprecation of third-party cookies necessitates the development of a new approach to securely share data among brands, agencies, and publishers.

Analytics 52

Analytics Analytics Machine Learning Machine Learning 52

DrivenData Labs

MARCH 30, 2023

PETs Prize Challenges was to advance privacy-preserving federated learning solutions that provide end-to-end privacy and security protections while harnessing the potential of AI for overcoming significant global challenges. Shaishav Jain is a Data Science Associate Consultant at ZS.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

AWS 84

AWS Database AI AI 84

IBM Journey to AI blog

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Warehouse 80

Data Warehouse AWS AI AI 80

AWS Machine Learning Blog

MARCH 15, 2024

Federation learning to save the day (and save lives) For good artificial intelligence (AI), you need good data. Legacy systems, which are frequently found in the federal domain, pose significant data processing challenges before you can derive any intelligence or merge them with newer datasets.

AWS 98

AWS ML ML Data Silos 98

Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. This open format allows for seamless storage and retrieval of data across different databases.

Power BI 194

Power BI Data Lakes Azure Data Silos 194