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. Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations.

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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?

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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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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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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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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

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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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. That approach assumes that good data quality will be self-sustaining.

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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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Alation

SEPTEMBER 29, 2021

Three-quarters (74%) of data leaders say that, despite the positive potential impact of data and analytics, their CFOs do not invest enough. The report also found that 89% of organizations that fell short of their revenue goals blame their CFO for not investing enough in data and analytics. Data silos (38%).

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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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Precisely

JANUARY 23, 2024

According to a 2023 survey by Drexel University’s LeBow College of Business , 77% of data and analytics professionals say that data-driven decision-making is a leading goal for their data programs. Yet fewer than half rate their ability to trust the data used for decision-making as “high” or “very high.”

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ODSC - Open Data Science

JULY 13, 2023

Because producing valuable insights out of unstructured information is one of the top data challenges, businesses need a way to analyze their collections. Data analytics in the retail industry may be the solution. A retailer must connect data silos across the entire organization for proper consolidation.

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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.

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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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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.

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DrivenData Labs

SEPTEMBER 10, 2024

Find, curate, or contribute data to create representative and open datasets that can be used for early prediction of AD/ADRD. Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. Dr. Reid also teaches Data Science at the University of California at Berkeley.

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