IBM Journey to AI blog

SEPTEMBER 19, 2023

They struggle to link IT outages to business impacts because data is often siloed and knowledge is tribal. Combining a process orchestration solution like Camunda with an observability solution like IBM Instana can break down these silos, help teams better understand their systems and react faster. What is Camunda?

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IBM Journey to AI blog

APRIL 15, 2024

Technology and disruption are not new to manufacturers, but the primary problem is that what works well in theory often fails in practice. Or we create a data lake, which quickly degenerates to a data swamp. Contextual data understanding Data systems often cause major problems in manufacturing firms.

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Precisely

FEBRUARY 12, 2024

For instance, telcos are early adopters of location intelligence – spatial analytics has been helping telecommunications firms by adding rich location-based context to their existing data sets for years. Despite that fact, valuable data often remains locked up in various silos across the organization.

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IBM Journey to AI blog

FEBRUARY 28, 2024

Sourcing teams are automating processes like data analysis as well as supplier relationship management and transaction management. This helps reduce errors to improve data quality and response times to questions, which improves customer and supplier satisfaction. Sourcing is getting smarter.

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IBM Journey to AI blog

MARCH 25, 2024

So, what is stopping companies from delivering content with generative AI across their content supply chain? Can they trust that what’s created isn’t going to break any brand guidelines? Knowing how to manifest these improvements is not always clear: Enter generative AI and the content supply chain.

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IBM Journey to AI blog

FEBRUARY 8, 2024

During their time with a company, people undergo many changes that impact not only what they contribute, but also what kind of support they require from their employer. Despite these challenges, employees expect their interactions and experiences with a company to live up to their brand values.

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IBM Journey to AI blog

JUNE 20, 2023

What does that mean? Early data-driven warranty re-invention The global automotive OEMs have always faced warranty issues and therefore their warranty management capabilities are quite mature. Even the over-performing early technology adopters have still a lot of possibilities to better use their data. and Canada.

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IBM Journey to AI blog

JUNE 14, 2023

Human-centered digital transformations begin with understanding what’s inside the hearts and minds of the people your organization depends on, then using those insights to inform how you embark on new initiatives and include everyone in the journey. ​​“Transformation is pointless when we do it without purpose.”Debbie

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DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. That’s why the U.S. The goal of the U.S.-U.K.

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IBM Journey to AI blog

JUNE 29, 2023

Similarly, in the business world, when decision-making happens in silos and planning processes are disconnected, it’s like having a group of individuals playing their own instruments without any coordination. Imagine a symphony orchestra where each musician plays their own tune without listening to others.

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phData

APRIL 14, 2023

There’s some exciting news in the world of manufacturing data… phData just announced the launch of three new pre-built solutions for the Manufacturing Data Cloud, which was recently launched by the Snowflake Data Cloud. What is the Manufacturing Data Cloud from Snowflake?

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Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? But what comes after these parameters are set?

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Iguazio

JULY 31, 2023

In this blog post, we detail the steps you need to take to build and run a successful MLOps pipeline. What is MLOps? MLOps (Machine Learning Operations) is the set of practices and techniques used to efficiently and automatically develop, test, deploy, and maintain ML models and applications and data in production.

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IBM Journey to AI blog

NOVEMBER 20, 2023

Let’s dig into what this looks like in practice. These identity silos disrupt strategic intentions of providing users a consistent and frictionless authentication experience and improving identity security. IBM is recognized for its Ability to Execute and Completeness of Vision.

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Tableau

AUGUST 1, 2022

Enterprises are eager to win in the data economy. This economy, representing global supply and demand for data, and data-driven applications or services, grows because more enterprises seek critical insights from data-fueled products and services that support their success. Create a strong Data Culture.

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IBM Journey to AI blog

JANUARY 15, 2024

While digital transformation has been a trend for some years, emerging technologies have made this movement even more important. Companies are rethinking their business models to become more digital and competitive. Digital transformation is an important component of a modern organization’s business operations.

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Alation

NOVEMBER 17, 2022

But what does it mean for an organisation to be truly data-driven? What foundation needs to be in place at the start, and what journey does an organisation need to embrace to benefit from the forensic insights their data can reveal? First, what are your business objectives? Keeping those customers (6 times).

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Tableau

AUGUST 1, 2022

Enterprises are eager to win in the data economy. This economy, representing global supply and demand for data, and data-driven applications or services, grows because more enterprises seek critical insights from data-fueled products and services that support their success. Create a strong Data Culture.

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phData

DECEMBER 12, 2023

This blog was written by Sara Price and edited by Sunny Yan. In this blog, we’ll demonstrate how to utilize data to drive successful targeted and personalized campaigns for your fanbase to increase revenue, boost operational efficiency, and improve cross-departmental collaboration—all while providing an enriched fan experience.

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IBM Journey to AI blog

JANUARY 8, 2024

Organizations implementing successful business transformations are more likely to grow their existing businesses, eliminate silos, create revenue growth and business models and reinvent how they handle their operations. But what is a digital transformation strategy and how does an organization successfully execute it? ” Why?

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phData

MARCH 4, 2024

The Snowflake Data Cloud has become a game-changer for businesses leveraging data analytics, but did you know it also packs a serious punch when it comes to Artificial Intelligence (AI)? What are Snowflake’s Most Powerful Features for AI? What are Snowflake’s Most Powerful Features for AI?

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Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. What is the Data Fabric? The domain of the data.

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Alation

NOVEMBER 28, 2022

introduces Alation Connected Sheets, a new product under Alation Cloud Service that empowers spreadsheet users with access to trusted data. What is Alation Connected Sheets ? This means that business users can reduce their reliance on IT and data teams for access to data, all without having to learn a new tool.

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Alation

MARCH 29, 2022

Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. But there have always been limits on who can access valuable data, as well as how it can be used. But there have always been limits on who can access valuable data, as well as how it can be used.

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Tableau

MARCH 10, 2021

The successes of responding to the pandemic as one data community illustrate the necessity and strength of this kind of collaboration.” - Rabah Kamal. Campion, members of the Tableau Advisory Board, what they felt were the biggest data lessons they’ve learned since the beginning of the pandemic. March 10, 2021.

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IBM Journey to AI blog

FEBRUARY 7, 2024

Here’s what to watch: Net zero: The race moves forward The global focus on achieving net-zero emissions —the point which human-caused greenhouse gas emissions are balanced by an equivalent amount removed from the atmosphere—has intensified in recent years. In 2024, sustainability is taking center stage.

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Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Data Intelligence emerges as the indispensable force steering businesses towards informed and strategic decision-making. So, let’s get started.

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IBM Journey to AI blog

SEPTEMBER 15, 2023

For example, the regulated disclosures could be anything from estimates around Scope 3 emissions, to investor-grade data. The process will accelerate the pace at which ESG data will need to be collected, verified, and incorporated into these financially material investor disclosures. In parallel, the U.S.

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IBM Journey to AI blog

JANUARY 15, 2024

Enterprises now recognize the importance of leveraging innovative technologies to drive digital transformation and achieve cost efficiency. However, a lack of precise top-level planning and a narrow focus on technology without integration with business needs led to significant investments with suboptimal results for many companies.

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Pickl AI

NOVEMBER 21, 2023

In the context of the supply chain, IBP aims to align demand, supply, and finance functions, breaking down silos and fostering collaboration. This component involves forecasting future demand based on historical data, market trends, and other relevant factors.

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DataRobot Blog

MARCH 15, 2022

In our previous healthcare blog , Sally Embrey explained how the integration of health and care services is gathering pace globally and how the creation of Integrated Care Systems (ICSs) by England’s National Health Service (NHS) is the latest example of services being organized around a local population.

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IBM Journey to AI blog

JULY 11, 2023

Relying on siloed tools and tribal knowledge to fill this gap doesn’t work. It captures every instance of the business process and the underlying IT requests on which it executes by using Instana’s 100% capture of trace data so that no business or IT data is missed. Watch the demo.

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IBM Journey to AI blog

OCTOBER 16, 2023

Linux namespaces and cgroups, Windows silos and job objects) to isolate processes and control the amount of CPU, memory and disk that those processes can access. Organizations might have different needs and different goals regarding their container strategy and must align what they measure with those goals.

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AWS Machine Learning Blog

JUNE 13, 2023

This is a guest post by Dr. Naoki Okada, Lead Data Scientist at BrainPad Inc. is a pioneering partner in the field of data utilization, helping companies create business and improve their management through the use of data. Founded in 2004, BrainPad Inc. Why did we choose Amazon Kendra? This is the power of knowledge sharing.

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IBM Journey to AI blog

APRIL 20, 2023

What do a Canadian energy company, a Dutch coffee retailer and a British multinational consumer packaged goods (CPG) company have in common right now? A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap. dollars annually in direct or indirect procurement.

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IBM Journey to AI blog

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

Who needs a cross-account feature store Organizations need to securely share features across teams to build accurate ML models, while preventing unauthorized access to sensitive data. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models.

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