Data Science Connect

JULY 22, 2023

Data scientists and journalists are closely monitoring this development , anticipating its potential impact on the future of news media and journalistic practices. By leveraging powerful language models like GPT-3, journalists can automate routine tasks, such as summarizing data, writing standardized articles, and fact-checking information.

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IBM Journey to AI blog

MARCH 29, 2024

It may be the solution that finally breaks through dysfunctional silos of business units, applications, data and people, and moves beyond the constraints that have cost companies dearly. Challenge 1: Orchestrate relevant data The journey to generative AI begins with data management. And it’s not just a technology change.

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IBM Journey to AI blog

MARCH 4, 2024

Become an AI+ enterprise An AI+ enterprise innovates with AI as the primary focus, understands that AI is fundamental to the entire business, and recognizes that AI impacts all aspects of the business: product innovation, business operations, technical operations, as well as people and culture. times higher ROI. Should you build your own?

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IBM Journey to AI blog

DECEMBER 19, 2023

This post expands on the topic and provides a maturity model and building blocks that help enterprises accelerate their software supply chain lifecycle in the ever-evolving landscape of enterprise cloud-native software development. This helps adoption and acceleration. This results in trust, efficiency and accuracy in reviews.

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The MLOps Blog

MARCH 28, 2023

And because it takes more than technologies and processes to succeed with MLOps, he will also share details on: 1 Brainly’s ML use cases, 2 MLOps culture, 3 Team structure, 4 And technologies Brainly uses to deliver AI services to its clients, Enjoy the article! Say the teams have the data and can immediately start the labeling.

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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? I will define this later as the “Data Product.”

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Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

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IBM Journey to AI blog

DECEMBER 19, 2023

As practices like DevOps , cloud native , serverless and site reliability engineering (SRE) mature, the focus is shifting toward significant levels of automation, speed, agility and business alignment with IT (which helps enterprise IT transform into engineering organizations). Those objectives require a target operating model.

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Hacker News

DECEMBER 19, 2023

The decision was made with full confidence that Meta’s infrastructure teams can deliver based on their past track record and the maturity of the infrastructure. It is built from the ground up to leverage Meta’s infrastructure, and keyspaces hosted on it can be flexibly placed across any number of data centers.

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phData

MAY 2, 2024

The cloud data platforms of today offer unprecedented adaptability and scalability, creating vast opportunities to leverage data for generating business value. Financial Operations (FinOps) is an operating framework that promotes a culture of optimizing platform performance to ensure maximum ROI. What are the 3 Phases of FinOps?

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AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. All the principles of the AWS Shared Responsibility Model are applicable to generative AI solutions.

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Dataconomy

DECEMBER 8, 2023

Taking a broader view, among the most interesting (and lesser-celebrated) areas where advanced tools look set to drive major change is data management. GenAI has significant potential to impact how data is accessed and evaluated, in a positive way. Or in short, enabling data-driven teams to run even better.

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Tableau

OCTOBER 14, 2021

In case you missed them, read the first on governance and data management that enables your digital business , and the second on modern analytics for fast decision-making. Data-leading organizations see benefits like improved customer acquisition and retention, engaged employees, and operational efficiency.

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Tableau

OCTOBER 14, 2021

In case you missed them, read the first on governance and data management that enables your digital business , and the second on modern analytics for fast decision-making. Data-leading organizations see benefits like improved customer acquisition and retention, engaged employees, and operational efficiency.

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Tableau

SEPTEMBER 14, 2021

Many businesses recently made strategic moves to build or enhance their data cultures, enabling people to make better, faster decisions as they faced unprecedented challenges. Moving ahead, data-driven decisions will outweigh gut decision-making as normal operations resume. “A The shift: Strategic influences of a Data Culture.

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Tableau

SEPTEMBER 14, 2021

Many businesses recently made strategic moves to build or enhance their data cultures, enabling people to make better, faster decisions as they faced unprecedented challenges. Moving ahead, data-driven decisions will outweigh gut decision-making as normal operations resume. “A The shift: Strategic influences of a Data Culture.

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IBM Journey to AI blog

OCTOBER 25, 2023

Here’s how CTOs and CIOs can evaluate their technology and data estates, assess the opportunity and chart a path forward. Leaders must also address the expertise gap by prioritizing talent development and get cultural buy-in on modernization as a strategic, future-proofing business investment rather than an operational technology play.

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IBM Journey to AI blog

JULY 5, 2023

Moving data and applications from traditional on-premises data centers to cloud infrastructure offers companies the potential for significant cost savings through accelerating innovation, keeping a competitive edge and better interacting with customers and employees. Limit data transfer fees by avoiding unnecessary data transfers.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. However, bringing such solutions and models to the business-as-usual operations is not an easy task. Our approach applies to both open-source and proprietary models equally.

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phData

AUGUST 9, 2023

This post was co-written by Sam Hall and Dakota Kelley As the Modern Data Stack grows and matures, a large variety of tools begin to pop up, solving various problems throughout the ecosystem. In short, ELT exemplifies the data strategy required in the era of big data, cloud, and agile analytics.

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IBM Journey to AI blog

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Don’t try to do everything at once!

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Data Science Dojo

AUGUST 24, 2023

ML models have grown significantly in recent years, and businesses increasingly rely on them to automate and optimize their operations. However, managing ML models can be challenging, especially as models become more complex and require more resources to train and deploy.

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AWS Machine Learning Blog

APRIL 18, 2023

MLSL’s high caliber talent, culture, and focus on aiding our realization of measurable and compelling results from machine learning investments enabled us to reduce suicide risk, improve career transition, and speed up important connections for our service members, veterans, and their families.” This was stored in S3.

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Pickl AI

MARCH 22, 2023

Data Science is one of the most affluent career fields in the market and you can find yourself becoming part of the industry with the right skills and experience. However, how do you know which are the top Data Science companies in India if you have to be part of the industry? Top Data Science Companies in India 1.

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Dataconomy

FEBRUARY 9, 2024

Artificial Intelligence (AI) is a rapidly evolving field, and in the domain of language models, we’re witnessing an exciting showdown. What are these models, how do they stack up, and which reigns supreme? ChatGPT and Gemini are both examples of large language models (LLMs). But which model should you start with?

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AWS Machine Learning Blog

APRIL 22, 2024

These include the ability to analyze massive amounts of data, identify patterns, summarize documents, perform translations, correct errors, or answer questions. These examples include speeding up market trend analysis, ensuring accurate risk management and compliance, and facilitating data collection or report generation.

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phData

APRIL 10, 2023

In almost every modern organization, data and its respective analytics tools serve to be that big blue crayon. Users across the organization need that big blue crayon to make decisions every day, answer questions about the business, or drive changes based on data. What is Governed Self-Service Analytics?

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phData

APRIL 21, 2023

Data Platform Operational Maturity Framework Babak Tabesh April 21, 2023 This guide was co-written by Babak Tabesh and Allyse Fristo. Organizations are undergoing data transformations and modernization efforts to remain competitive but few can effectively build and sustain the platform of their vision.

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IBM Journey to AI blog

MAY 23, 2023

. “The scale of most enterprise hybrid cloud deployments is so vast and penetrates so deeply that the need for an all-in security culture is absolute,” says Shue-Jane Thompson, managing partner at IBM Consulting. Per data from a 2022 Verizon report , as many as 8 in 10 security breaches are caused by human error.

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Tableau

JUNE 16, 2021

Customers now have a more transparent view of the commitment and quality level of Tableau’s partners by business model track (Reseller, Services, and Technology) and performance level (Premier, Select, and Member), as well as by country groupings versus a single global qualification.

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The MLOps Blog

JANUARY 23, 2023

Founded neptune.ai , a modular MLOps component for ML metadata store , aka “experiment tracker + model registry”. Not a fork: – The MLOps team should consist of a DevOps engineer, a backend software engineer, a data scientist, + regular software folks. There will be only one type of ML metadata store (model-first), not three.

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The MLOps Blog

OCTOBER 3, 2023

Mikiko is a very well-known figure in the data community. So I tell people honestly, I’ve spent the last eight years working up and down the data and ML value chain effectively – a fancy way of saying “job hopping.” How to transition from data analytics to MLOps engineering Piotr: Miki, you’ve been a data scientist, right?

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Tableau

APRIL 18, 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. The pandemic may have forced their hands, but they’ve seen the value of data and will never go back to making decisions based on hunches. What is a data fabric design?

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Tableau

APRIL 18, 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. The pandemic may have forced their hands, but they’ve seen the value of data and will never go back to making decisions based on hunches. What is a data fabric design?

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Tableau

JUNE 16, 2021

Customers now have a more transparent view of the commitment and quality level of Tableau’s partners by business model track (Reseller, Services, and Technology) and performance level (Premier, Select, and Member), as well as by country groupings versus a single global qualification.

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Tableau

SEPTEMBER 22, 2022

At Dreamforce 2022 , Salesforce Co-CEOs Marc Benioff and Bret Taylor showed us an exciting vision of a connected, data-driven world in the face of rapid, global change. Thankfully, data can help us quickly respond to—and proactively prepare for—change, to find a path forward and not only survive, but thrive in times of uncertainty.

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Tableau

SEPTEMBER 23, 2022

At Dreamforce 2022 , Salesforce Co-CEOs Marc Benioff and Bret Taylor showed us an exciting vision of a connected, data-driven world in the face of rapid, global change. Thankfully, data can help us quickly respond to—and proactively prepare for—change, to find a path forward and not only survive, but thrive in times of uncertainty.

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