Dataconomy

MARCH 12, 2024

As their value proposition is usually multifaceted, ranging from human traits of company representatives to more tangible things, like technology stack or delivery methodology. With that, it is difficult to tell what exact aspect of a company’s activity makes it stand out from the competition and launch into its upward momentum.

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AWS Machine Learning Blog

MAY 8, 2024

To address this challenge, Dialog Axiata has pioneered a cutting-edge solution called the Home Broadband (HBB) Churn Prediction Model. The telecommunications industry is more competitive than ever before. million subscribers, which amounts to 57% of the Sri Lankan mobile market.

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IBM Journey to AI blog

DECEMBER 19, 2023

In this stage, the focus is building an enterprise catalog of continuous integration, deployment and testing (CI/CD/CT) and Ops patterns with necessary tooling integrations to automate core development and testing activities. We recommend a 4-stage roadmap for implementation, as shown in the figure below.

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IBM Journey to AI blog

DECEMBER 20, 2023

Yet navigating the complexities of building and managing a hybrid environment poses unique challenges. These software applications integrate off-premises and cloud-based environments to deliver unified cloud deployment and management capabilities. Modern hybrid cloud environments also include orchestration and management tools.

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Dataconomy

JUNE 1, 2023

Organizations face increasing challenges in meeting and maintaining compliance obligations. This includes considering factors such as functionality, integration capabilities, scalability, and vendor reputation. Is your organization utilizing a compliance automation tool? What is compliance automation?

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ODSC - Open Data Science

APRIL 17, 2023

This can be attributed to the fact that data from each field come with a different and diverse set of challenges. Data security is very important for organizations as they need their clients to trust them with their sensitive information. DevSecOps has emerged as a promising approach to address the above challenges.

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Precisely

FEBRUARY 9, 2024

When we look at data integrity trends for 2024, agility remains a top focus for organizations across industries. With these goals in mind, data with integrity – maximum accuracy, consistency, and context – is critical. But few organizations have the data integrity required to power meaningful outcomes.

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Pickl AI

JUNE 29, 2023

Some of the applications that it supports are: IT operations and monitoring Security information and event management (SIEM) Business Analytics DevOps Overall, it empowers organisations to proactively monitor their systems, detect anomalies, and take the necessary measures to overcome them. What is Splunk?

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Ocean Protocol

MARCH 10, 2023

What We’re Doing in 2023, and Why Ocean’s first phase was building the core infrastructure for the open data economy. Abstract Ocean was founded to create the building blocks and tools to unleash an open, permissionless and secure data economy. Contents 1. Abstract 2. Introduction 3. Conclusion 1. Introduction 2.1.

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IBM Journey to AI blog

AUGUST 15, 2023

This advancement does not come without its challenges. To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. Artificial intelligence (AI) adoption is here.

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Precisely

NOVEMBER 8, 2023

Businesses are writing their own ambitious cloud strategies and manifestos, procurement are setting goals, security requirements are increasing, and businesses are driving their teams to achieve more with less so they can realise a reduction in spend. It’s a complex world, but does it need to be?

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phData

OCTOBER 17, 2023

Why Does My Data Organization Move so Slowly? Why Does My Data Organization Move so Slowly? This is why it is a cause of significant lead times between a request for the data and its availability to end users. Can these tools help reduce the time our data engineers spend fixing things? What is going wrong here?

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Mlearning.ai

JUNE 16, 2023

functional testing, integration testing, load testing), and usually user acceptance testing is needed before the product is formally considered as feature-complete. functional testing, integration testing, load testing), and usually user acceptance testing is needed before the product is formally considered as feature-complete.

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AWS Machine Learning Blog

MAY 19, 2023

For some, it’s from birth, for others, it’s a slow descent over time which comes with many expiration dates: The day you can’t see pictures, recognize yourself, or loved ones faces or even read your mail. Accessibility has come a long way, but what about images? The Amazon Cognito Identity pool grants temporary access to the Amazon S3 bucket.

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The MLOps Blog

MARCH 21, 2023

Why are you building an ML platform? Moving across the typical machine learning lifecycle can be a nightmare. From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. That’s where this guide comes in!

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ODSC - Open Data Science

JULY 24, 2023

Last month, Kellton was featured in the 2023 edition of the ISG Provider Lends SAP Ecosystem Reporter, under the Midmarket segment as a product challenger. The APAC region is fast becoming both a center for advanced computing and AI. So let’s take a look at a few startups from the APAC region that you’ll want to keep an eye on.

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Heartbeat

NOVEMBER 28, 2023

However, as your model development process becomes more complex and involves numerous experiments and iterations, keeping track of your progress, managing experiments, and collaborating effectively with team members becomes increasingly challenging. However, deploying ML models in production can be complex and challenging.

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The MLOps Blog

APRIL 17, 2023

As an MLOps engineer on your team, you are often tasked with improving the workflow of your data scientists by adding capabilities to your ML platform or by building standalone tools for them to use. Experiment tracking is one such capability. And since you are reading this article, the data scientists you support have probably reached out for help.

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The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Nice to have you here, Miki.

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