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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Precisely

AUGUST 12, 2024

Data silos Limited integration capabilities Fragmented communications Workflow problems Limited scalability The fact is, your legacy systems can create great risks for your business. The Challenges of Legacy CCM Technology First, let’s dive deeper into what’s pushing this need for CXPs. Do any of these common barriers feel familiar?

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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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Precisely

JANUARY 17, 2023

For most enterprises, 2022 was a year of transition, as companies struggled to figure out how to accomplish more with fewer resources. Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency.

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Ocean Protocol

DECEMBER 27, 2022

Launched in November 2022, contestants of the ETH price prediction data challenge were asked to engage with Ocean.py This challenge aimed to activate relevant communities of Web3-native data scientists and guide them towards potential use cases such as community-owned algorithms via data NFTs and DeFi protocol design.

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Ocean Protocol

JANUARY 5, 2023

About Ocean Protocol Ocean Protocol is a decentralized data exchange platform spearheading the movement to unlock a New Data Economy, break down data silos, and open access to quality data. By giving power back to data owners, Ocean resolves the tradeoff between using private data and the risks of exposing it.

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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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IBM Journey to AI blog

OCTOBER 30, 2023

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

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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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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

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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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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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.

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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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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!

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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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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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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.

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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.

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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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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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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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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?

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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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Pickl AI

DECEMBER 10, 2024

Data Analytics has transformed industries, enabling smarter decision-making, personalised customer experiences, and operational efficiency. billion in 2022, it is projected to surge to USD 279.31 These solutions break down data silos, making it easier to integrate and analyse data from various sources in real-time.

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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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DrivenData Labs

SEPTEMBER 10, 2024

This large-scale nationally representative survey of the non-institutionalized United States population covers ages 18-85, with relevant years from 2010-2022. Dr. Reid also teaches Data Science at the University of California at Berkeley. Summary of approach: The team proposed using the National Health Interview Survey (NHIS).

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