IBM Journey to AI blog

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS’s secure and scalable environment ensures data integrity while providing the computational power needed for advanced analytics.

AWS

Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025. from 2023 to 2030. from 2023 to 2030.

Analytics

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

IBM Journey to AI blog

JANUARY 30, 2024

billion in 2023. Besides paying for unnecessary or forgotten workloads, overprovisioning can also increase the multicloud attack surface, making it more vulnerable to data breaches or cyberattacks. Data silos: With data spread across multiple clouds and platforms, an organization risks creating data silos.

Cloud Computing

Ocean Protocol

MARCH 8, 2023

Launched on February 1st 2023, the contestants of our Air Quality challenge were asked to use Ocean.py’s open-source tool, Compute-to-Data, to publish predictions of air pollutant concentrations in a fully decentralized manner. Feedback from contestants also drives innovation and improvements to the Ocean tech stack.

Data Silos

phData

NOVEMBER 13, 2023

Join us as we navigate the key takeaways defining the future of data transformation. dbt Mesh Enterprises today face the challenge of managing massive, intricate data projects that can slow down innovation. In mid-2023, many companies were wrangling with more than 5,000 dbt models. Figure 5: dbt Cloud CLI.

Database

Precisely

JULY 12, 2024

For instance, you may have a database of customer names and addresses that is accurate and valid, but if you do not also have supporting data that gives you context about those customers and their relationship to your company, that database is not as useful as it could be. That is where data integrity comes into play.

Data Quality

Precisely

JUNE 26, 2023

This digital boom raised the stakes for cyber security and data privacy – and it’s easy to see why. Data theft, leaks, and breaches will cost companies an estimated $8 trillion in 2023. Regulatory and consumer scrutiny with respect to how companies manage personal data is on the rise.

Data Quality

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

Precisely

JUNE 29, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Data-driven decision-making is the top goal for 77% of data programs. The results are in!

Data Silos

Precisely

FEBRUARY 9, 2024

In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. They relied on their data as a critical factor to guide their businesses to agility and success. That approach assumes that good data quality will be self-sustaining.

Data Quality

ODSC - Open Data Science

JUNE 7, 2023

This means that customers can easily create secure and scalable Hadoop-based data lakes that can quickly process large amounts of data with simplicity and data security in mind. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.

Data Lakes

IBM Journey to AI blog

FEBRUARY 19, 2024

In 2023, the global data monetization market was valued at USD 3.5 Figure 2: The data product lifecycle The banking industry, for example, faces the following challenges: Competition from agile and innovative financial technology and challenger banks. Organizational data silos that impede a unified customer experience.

Data Silos

phData

SEPTEMBER 15, 2023

For businesses utilizing Salesforce as their Customer Relationship Management (CRM) platform, the Snowflake Data Cloud and Tableau offer an excellent solution for scalable and accurate analytics. In order to unlock the potential of these tools, your CRM data must remain synced between Salesforce and Snowflake. Click Settings.

Data Warehouse

Precisely

JANUARY 23, 2024

As organizations scramble to tap into the immense value of all the data available to them, they also struggle with a growing set of challenges in order to make data-driven decisions. In today’s digital economy, data-driven decisions are rapidly becoming the norm. Doing so requires a sound data governance framework.

Data Governance

Ocean Protocol

APRIL 13, 2023

Predict-ETH Round 4 Setup Predict-ETH Round 4 kicked off on March 7th, 2023. The submission deadline was April 5th, 2023, at 23:59 UTC. About Ocean Protocol Ocean Protocol is an ecosystem of open source data sharing tools for the blockchain. The Round 4 README guided contestants how to make their submissions.

Data Silos

phData

MARCH 26, 2024

With its columnar format and unique features, we know that the Snowflake Data Cloud is fantastic at analytical workloads. But what if Snowflake could handle transactional data as well? What insights could you derive from having your transactional and analytical data in one place?

Clustering

Ocean Protocol

APRIL 14, 2023

We’re announcing our NFT Price Analysis data challenge due this April 30th, 2023 at 11:59 PM UTC! Contestants are asked to submit data analytics reports and machine learning models to analyze the floor prices of NFTs. The submission deadline for the reporting part of the competition is April 30th, 2023, at 23:59 UTC.

Machine Learning

IBM Journey to AI blog

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. A data fabric architecture elevates the value of enterprise data by providing the right data, at the right time, regardless of where it resides. Start a trial. AI governance.

Data Governance

Precisely

MAY 16, 2024

Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid biases, improve accuracy and reliability, and boost contextual relevance and nuance. Adopt strategic practices in data integration, quality management, governance, spatial analytics, and data enrichment.

AI

phData

SEPTEMBER 13, 2023

Advantages One of the main advantages of this approach is that it enables businesses to centralize their data in Snowflake, which can improve data accuracy and consistency. It also permits enterprises to perform advanced analytics on their Salesforce data using Snowflake’s powerful analytics capabilities.

Tableau

Ocean Protocol

MARCH 7, 2023

We included links to some data feeds and AI modeling approaches that you may find helpful in the challenge’s README. Predict-ETH Round 4 Evaluation The submission deadline is April 5th, 2023 at 23:59 UTC. See our Discord #events-overview channel for further details or chat with us in the dedicated #data-challenges channel.

Data Scientist

Pickl AI

DECEMBER 11, 2024

Efficiency emphasises streamlined processes to reduce redundancies and waste, maximising value from every data point. Common Challenges with Traditional Data Management Traditional data management systems often grapple with data silos, which isolate critical information across departments, hindering collaboration and transparency.

Data Silos

phData

AUGUST 11, 2023

Thus, using data engineering is a must in 2023 for hospitals. Operational Efficiency and Resource Optimization Hospitals worldwide are shifting toward utilizing data to drive business decisions, reducing the risk of human error. Chinese hospitals are already using data engineering to manage their supply chains.

Data Engineering

DrivenData Labs

MARCH 30, 2023

Generate effective models to accomplish a set of predictive or analytical tasks that support the use cases. Teams competing in the challenge participated in two separate data tracks: Track A dealt with the identification of financial crime, and Track B was about bolstering pandemic forecasting and response.

Machine Learning

Heartbeat

DECEMBER 7, 2023

In this case, the formation of data silos is prevented, and we provide the most efficient and fast use of decentralized, federated, and simultaneous interoperability with data mesh. Capability: Data Mesh creates the need for technical expertise in all organizational domains, which increases the demand for competent personnel.

Data Governance

Precisely

OCTOBER 12, 2023

The Need for Sustainable Compliance This swirl of macro trends has majorly impacted businesses in financial services and across industries – and the effects can be seen in data strategies.

Data Quality

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. All of this happens within the data lake environment to produce consistent results and remove the possibility of data silos.

Data Lakes

Flipboard

DECEMBER 4, 2024

The use of separate data warehouses and lakes has created data silos, leading to problems such as lack of interoperability, duplicate governance efforts, complex architectures, and slower time to value. You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes.

Data Lakes

Tableau

MAY 5, 2023

Pedro Arellano SVP & GM, Tableau Kristin Adderson May 5, 2023 - 7:28pm May 9, 2023 The analytics age we find ourselves in is unique, powered by technologies like generative AI, the Internet of Things (IoT), and automation that are going to change so much of what we take for granted today.

Tableau

AWS Machine Learning Blog

MARCH 15, 2024

In Dr. Werner Vogels’s own words at AWS re:Invent 2023 , “every second that a person has a stroke counts.” Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. Much of this work comes down to the data.” Stroke victims can lose around 1.9

AWS

Tableau

MAY 5, 2023

Kristin Adderson May 5, 2023 - 7:28pm May 9, 2023 The analytics age we find ourselves in is unique, powered by technologies like generative AI, the Internet of Things (IoT), and automation that are going to change so much of what we take for granted today. But we know that this can be challenging.

Tableau

Tableau

MAY 5, 2023

Kristin Adderson May 5, 2023 - 7:28pm May 9, 2023 The analytics age we find ourselves in is unique, powered by technologies like generative AI, the Internet of Things (IoT), and automation that are going to change so much of what we take for granted today. But we know that this can be challenging.

Tableau

phData

SEPTEMBER 27, 2024

In transitional modeling, we’d add new atoms: Subject: Customer#1234 Predicate: hasEmailAddress Object: "john.new@example.com" Timestamp: 2023-07-24T10:00:00Z The old email address atoms are still there, giving us a complete history of how to contact John. In a traditional model, we’d update the email field in the customer record.

Data Modeling