IBM Journey to AI blog

DECEMBER 7, 2023

For example, an organization can use AI to send personalized emails to new customers explaining the benefits and uses of their new products based on the customer profile. IBM offers end-to-end consulting capabilities in experience design and service, data and AI transformation.

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IBM Journey to AI blog

JANUARY 18, 2023

Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution.

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ODSC - Open Data Science

DECEMBER 7, 2023

8 Tools to Protect Sensitive Data from Unintended Leakage In order to protect themselves from unintended leakage of sensitive information, organizations employ a variety of tools that scan repositories and code continuously to identify the secrets that are hard-coded within.

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IBM Journey to AI blog

JULY 12, 2023

It must be designed to be explainable, fair, robust and transparent, and prioritize and safeguard consumers’ privacy and data rights to help engender trust. IBM watsonx —our enterprise AI and data platform—offers a seamless, efficient, and governed approach to AI deployment across a variety of environments.

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Marktechpost

MARCH 12, 2024

These include data life cycle management, labeling, participatory data, ML safety and fairness evaluation, explainability, compliance, and more. The data resources and organization information make tools for data cleaning, refining, and analysis easier to design. Check out the Blog and Project.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

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IBM Journey to AI blog

JULY 17, 2023

With the recent launch of watsonx, IBM’s next-generation AI and data platform, AI is being taken to the next level with three powerful components: watsonx.ai, watsonx.data and watsonx.governance. Watsonx.data allows scaling of AI workloads using customer data. Watsonx.ai Watsonx.ai

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IBM Journey to AI blog

JUNE 23, 2023

Interpretation and contextualization: Financial reports need to deliver insights beyond the numbers they feature; they should provide meaningful context that aids in interpreting financial data. If poorly executed, these reports can limit our ability to explain the underlying drivers of performance.

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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ODSC - Open Data Science

MARCH 22, 2024

The brilliant solution is pretty disruptive, and although I am a great believer in Data Mesh, particularly after the successful implementation at PayPal ( The next generation of Data Platforms is Data Mesh ), it involves a lot of changes at the organizational level.

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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. Even though the titles are new, the ideas are not really new. Exciting News!

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IBM Journey to AI blog

APRIL 18, 2024

” AGI analyzes relevant code, generates a draft function with comments explaining its logic and allows the programmer to review, optimize and integrate it. Meet watsonx Explore AI topics The post Getting ready for artificial general intelligence with examples appeared first on IBM Blog.

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DataRobot Blog

AUGUST 1, 2022

As Senior Technical Analyst at GlobalData, Beatriz Vale explains “It will be exciting to follow the evolution of the new AI CoE, in the stimulating environment offered by Hub71, and within the context of the fast-growing market of Abu Dhabi and the UAE, the second largest economy in the Arab world.”

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AWS Machine Learning Blog

DECEMBER 7, 2023

Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section. He joined Getir in 2022 as a Data Scientist and started working on time-series forecasting and mathematical optimization projects. He loves combining open-source projects with cloud services.

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IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. Proprietary LLMs are owned by a company and can only be used by customers that purchase a license.

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IBM Journey to AI blog

AUGUST 17, 2023

Year after year, IBM Consulting works with the United States Tennis Association (USTA) to transform massive amounts of data into meaningful insight for tennis fans. This year, the USTA is using watsonx , IBM’s new AI and data platform for business.

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IBM Journey to AI blog

SEPTEMBER 7, 2023

But now let’s take a look under the hood and explain a little about how we built them, and how they will help you take AI to the next level in your business. IBM’s watsonx AI and data platform lets you go beyond being an AI user and become an AI value creator. 13b.instruct and Granite.13b.chat Test out watsonx.ai

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AWS Machine Learning Blog

AUGUST 3, 2023

It can be installed using npm as explained in our GitHub repository. She is passionate about helping customers innovate with Big Data and Artificial Intelligence technologies to tap business value and insights from data. The AWS Cloud Development Kit (AWS CDK) installed.

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Marktechpost

AUGUST 21, 2023

When combined with data from other sources, including marketing data platforms, Excel may provide invaluable insights quickly. Excel VBA Script Explainer uses AI to explain Excel VBA code, while the Excel VBA Script Generator creates VBA scripts.

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AWS Machine Learning Blog

AUGUST 4, 2023

To delete the resources (API Gateway and SageMaker endpoint) created by CodePipeline, navigate to the AWS CloudFormation console and delete the stack that was created.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps. IBM watsonx consists of the following: IBM watsonx.ai

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IBM Journey to AI blog

AUGUST 1, 2023

More accurate analytics Business leaders and other stakeholders can perform AI-assisted analyses to interpret large amounts of unstructured data, giving them a better understanding of the market, reputational sentiment, etc. The platform comprises three powerful products: The watsonx.ai

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IBM Journey to AI blog

JANUARY 10, 2024

This lack of transparency can be problematic in industries that prioritize process and decision-making explainability (like healthcare and finance). Learning and data handling: Traditional programming is rigid; it relies on structured data to execute programs and typically struggles to process unstructured data. .¹

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AWS Machine Learning Blog

OCTOBER 20, 2023

Data lake foundations This module helps data lake admins set up a data lake to ingest data, curate datasets, and use the AWS Lake Formation governance model for managing fine-grained data access across accounts and users using a centralized data catalog, data access policies, and tag-based access controls.

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IBM Journey to AI blog

OCTOBER 20, 2023

Get to know IBM watsonX IBM watsonx is an AI and data platform with a set of AI assistants designed to help you scale and accelerate the impact of AI with trusted data across your business. Explore watsonx to leverage AI and transform businesses The post How to choose the best AI platform appeared first on IBM Blog.

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Pickl AI

JUNE 12, 2023

Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data. But What is Tableau for Data Science and what are its advantages and disadvantages? Let’s read the blog to find out!

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The MLOps Blog

MARCH 12, 2024

Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. Develop the text preprocessing pipeline Data ingestion: Use Unstructured.io

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Pickl AI

JULY 10, 2023

. · Big Data Analytics: R has solutions for handling large-scale datasets and performing distributed computing. Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as Apache Hadoop and Apache Spark.

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The MLOps Blog

OCTOBER 3, 2023

For example, Shopify published a blog post about Merlin. You can explain, “Hey, this is the logic of the function, this is what the terms mean, etc. And then we had another team that was the data platform team. So they’re very closely associated with what you would think of as data engineering, right?

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IBM Journey to AI blog

MARCH 13, 2024

Learn more about the watsonx AI and data platform The post AI will change the world—the terms are up to us appeared first on IBM Blog. Navigating the increasingly complex global regulatory landscape is a challenge for businesses and organizations of all sizes.

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IBM Journey to AI blog

AUGUST 4, 2023

It’s often described as a way to simply increase data access, but the transition is about far more than that. When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard.

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IBM Journey to AI blog

JULY 27, 2023

Precisely conducted a study that found that within enterprises, data scientists spend 80% of their time cleaning, integrating and preparing data , dealing with many formats, including documents, images, and videos. Overall placing emphasis on establishing a trusted and integrated data platform for AI.

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The MLOps Blog

MARCH 21, 2023

They work with other users to make sure the data reflects the business problem, the experimentation process is good enough for the business, and the results reflect what would be valuable to the business. The user stories will explain how your data scientist will go about solving a company’s use case(s) to get to a good result.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

SageMaker Canvas provides a no-code experience to access data from Salesforce Data Cloud and build, test, and deploy models using just a few clicks. SageMaker Canvas also enables you to understand your predictions using feature importance and SHAP values, making it straightforward for you to explain predictions made by ML models.

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