IBM Journey to AI blog

OCTOBER 13, 2023

In IDC’s 2022 Global Supply Chain Survey , they identified that “lack of visibility and resiliency to see necessary changes in time to react effectively” was the most problematic and unaddressed deficiency in modern supply chain management and inventory optimization.

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ODSC - Open Data Science

JULY 13, 2023

Privacy is one of the top data challenges in the retail industry because the government is moving to make compliance measures more strict. The American Data Privacy Protection Act in 2022 was a proposed bill to standardize information collection and use nationwide. Standardizing collection and application is essential.

Data Science 52

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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. Data mesh is just beginning to become hype, and data fabric is a little closer to the plateau. How does it?

Data Governance 52

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DrivenData Labs

MARCH 30, 2023

Phase 2: Solution Development ¶ Phase 2 of the challenge took place from October 2022 to late January 2023. Phase 3: Red Teaming ¶ Phase 3 of the challenge for red team participants began in November 2022.

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ODSC - Open Data Science

JANUARY 17, 2024

Admittedly, there’s an overabundance of data. Excess Data Silos Since smart cities don’t know how to properly manage their constant flow of information, they create silos to divide the effort. While developing better smart city data governance practices may be challenging, it is necessary.

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Data Governance Data Silos Internet of Things Data Science 52

phData

APRIL 18, 2023

This is due to a fragmented ecosystem of data silos, a lack of real-time fraud detection capabilities, and manual or delayed customer analytics, which results in many false positives. Snowflake Marketplace offers data from leading industry providers such as Axiom, S&P Global, and FactSet.

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phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

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Tableau

APRIL 18, 2022

April 19, 2022 - 12:16am. April 19, 2022. By now, you’ve heard the good news: The business world is embracing data-driven decision making and growing their data practices at an unprecedented clip. What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather?

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Tableau

APRIL 18, 2022

April 19, 2022 - 12:16am. April 19, 2022. By now, you’ve heard the good news: The business world is embracing data-driven decision making and growing their data practices at an unprecedented clip. What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather?

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IBM Journey to AI blog

MAY 9, 2023

Supporting the data management life cycle According to IDC’s Global StorageSphere, enterprise data stored in data centers will grow at a compound annual growth rate of 30% between 2021-2026. [2] ” Notably, watsonx.data runs both on-premises and across multicloud environments.

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IBM Journey to AI blog

DECEMBER 7, 2023

API-led connectivity, also known as API-led integration or API connectivity, addresses these requirements to helps organizations break down data silos, improve collaboration, respond to change quickly and increase innovation. This is where application programming interfaces (APIs) can help.

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Alation

MAY 3, 2022

In a couple of weeks (May 17–19) the Alation team joins one of our favorite data events of the year: Tableau Conference 2022. Yet there’s still an alarming gap between finding data… and using it. Mind the (Data Accessibility) Gap. Data is more accessible than ever. See You at Tableau Conference 2022!

Tableau 52

Tableau Data Governance Data Silos Data Engineering 52

Becoming Human

MARCH 16, 2023

As the majority of companies in the sector (around 150 in 2022 according to BiopharmaTrend AI Report ) continue to be busy with designing small molecules, which are easy to represent computationally and compare at scale, there is also a growing interest in new applications of AI in drug discovery.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

The following risks and limitations are associated with LLM based queries that a RAG approach with Amazon Kendra addresses: Hallucinations and traceability – LLMS are trained on large data sets and generate responses on probabilities. This can lead to inaccurate answers, which are known as hallucinations.

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AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

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Mlearning.ai

SEPTEMBER 4, 2023

Bloomberg wanted to train a model on all their corporate data (5B tokens or ~3.75B words) and “still leave ~30% of the total compute budget as a buffer for unforeseen failures, retries, and restarts.” However, due to insufficient data and specific use cases, most organizations may not adopt an on-premises approach. 25] Edward J.

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Dataconomy

OCTOBER 11, 2023

This Florida-based venture, which came to life in January 2022, has recently raised an impressive ₹3.7 Delv AI: Pioneering AI solutions for data extraction Delv AI, at the core of this burgeoning firm, is on a quest to improve data extraction and say goodbye to data silos.

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AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

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Precisely

FEBRUARY 9, 2024

Trusted AI Outcomes Require a Focus on Data Integrity Everyone’s talking about artificial intelligence (AI) for its unique ability to automate or accelerate user tasks, resulting in greater efficiency and productivity and a reduced dependence on manual labor.

Data Quality 69

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Alation

JUNE 24, 2022

Last week the Alation team joined data leaders from all over the world for Snowflake Summit 2022 in Las Vegas. With over 10,000 people in attendance, it was truly an event for the entire data community. Attendees were focused on one key question: how can we put data into action and make it accessible to everyone?

Data Governance 59

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phData

NOVEMBER 9, 2023

The primary objective of this idea is to democratize data and make it transparent by breaking down data silos that cause friction when solving business problems. What Components Make up the Snowflake Data Cloud? This data architecture aims to solve a lot of the problems that have plagued enterprises for years.

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Alation

SEPTEMBER 29, 2021

At top-tier organizations, two key business drivers for data and analytics priorities emerge: Product innovation and operational efficiency are the two most popular reasons for pursuing a data culture. For 2022, Invest in Data Catalogs and Formal Learning. For starters, get a data catalog. Data silos (38%).

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Precisely

JANUARY 23, 2024

Yet fewer than half rate their ability to trust the data used for decision-making as “high” or “very high.” In a separate survey conducted in 2022, for example, S&P Global Market Intelligence found that fewer than one-quarter of respondents said nearly all strategic decisions are data-driven within their companies.

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