IBM Journey to AI blog

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy.

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AI News

SEPTEMBER 26, 2023

HT: When companies rely on managing data in a customer data platform (CDP) in tandem with AI, they can create strong, personalised campaigns that reach and inspire their customers. AN: What will Twilio be sharing with the audience at this year’s AI & Big Data Expo Europe?

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AI News

AUGUST 3, 2023

In June, IBM introduced watsonx , an AI and data platform designed to scale and accelerate the impact of advanced AI with trusted data. A commercial version of the geospatial model, integrated into IBM watsonx, will be available through the IBM Environmental Intelligence Suite (EIS) later this year.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Flipboard

NOVEMBER 19, 2024

He helps customers and partners build big data platform and generative AI applications. When not collaborating with customers, he enjoys playing with his kids and cooking. Fortune Hui is a Solutions Architect at AWS Hong Kong, working with conglomerate customers. In his free time, he plays badminton and enjoys whisky.

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IBM Journey to AI blog

MAY 21, 2024

At the time, Sevilla FC could efficiently access and use quantitative player data in a matter of seconds, but the process of extracting qualitative information from the database was much slower in comparison. In the case of Sevilla FC, using big data to recruit players had the potential to change the core business.

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Marktechpost

JULY 17, 2023

Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. It creates forecasts using historical data. Predictive analytics can make use of both structured and unstructured data insights.

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TransOrg Analytics

AUGUST 9, 2024

In the realm of data management and analytics, businesses face a myriad of options to store, manage, and utilize their data effectively. Understanding their differences, advantages, and ideal use cases is crucial for making informed decisions about your data strategy.

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Marktechpost

JUNE 5, 2024

You may use OpenRefine for more than just data cleaning; it can also help you find mistakes and outliers that could compromise your data’s quality. Apache Griffin Apache Griffin is an open-source data quality tool that aims to enhance big data processes.

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AWS Machine Learning Blog

DECEMBER 18, 2023

In this post, we will explore the potential of using MongoDB’s time series data and SageMaker Canvas as a comprehensive solution. MongoDB Atlas MongoDB Atlas is a fully managed developer data platform that simplifies the deployment and scaling of MongoDB databases in the cloud.

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Flipboard

NOVEMBER 24, 2023

Nicolas Jacob Baer is a Principal Cloud Application Architect at AWS ProServe with a strong focus on data engineering and machine learning, based in Switzerland. He works closely with enterprise customers to design data platforms and build advanced analytics and ML use cases.

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Pickl AI

OCTOBER 10, 2024

Enhanced Data Quality : These tools ensure data consistency and accuracy, eliminating errors often occurring during manual transformation. Scalability : Whether handling small datasets or processing big data, transformation tools can easily scale to accommodate growing data volumes.

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ODSC - Open Data Science

JULY 13, 2023

A machine learning scientist or artificial intelligence (AI) technology is an excellent candidate for the role. For example, retailers could analyze and reveal trends much faster with a big data platform. They can use it to properly inform their marketing and financial actions.

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Pickl AI

JULY 10, 2023

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling. It literally has all of the technologies required for machine learning jobs.

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ODSC - Open Data Science

SEPTEMBER 29, 2023

But, the amount of data companies must manage is growing at a staggering rate. Research analyst firm Statista forecasts global data creation will hit 180 zettabytes by 2025. In our discussion, we cover the genesis of the HPCC Systems data lake platform and what makes it different from other big data solutions currently available.

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Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks. MongoDB, developed by MongoDB Inc.,

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IBM Journey to AI blog

JULY 7, 2023

Secure databases in the physical data center, big data platforms and the cloud. Don’t throw your private data away with your machines. In addition to setting up corporate security policies, ensure your employees understand what they are and how to follow them. Dispose of old computers and records securely.

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Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Bosco Albuquerque is a Sr.

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Pickl AI

SEPTEMBER 25, 2024

Read Blog: How Can Adopting a Data Platform Simplify Data Governance For An Organization? You should also know about: Characteristics of Big Data: Types & 5 V’s of Big Data. More for you to see: Big Data Engineers: An In-depth Analysis. What is the COBIT Framework?

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ODSC - Open Data Science

OCTOBER 9, 2024

So what are you waiting for? Get your pass today !

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John Snow Labs

AUGUST 7, 2024

They advocate for the importance of transparency, informed consent protections, and the use of health information exchanges to avoid data monopolies and to ensure equitable benefits of Gen AI across different healthcare providers and patients. However as AI technology progressed its potential within the field also grew.

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AWS Machine Learning Blog

AUGUST 3, 2023

Aamna Najmi is a Data Scientist with AWS Professional Services. She is passionate about helping customers innovate with Big Data and Artificial Intelligence technologies to tap business value and insights from data. In her spare time, she enjoys gardening and traveling to new places.

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ODSC - Open Data Science

OCTOBER 20, 2023

HPCC Systems — The Kit and Kaboodle for Big Data and Data Science Bob Foreman | Software Engineering Lead | LexisNexis/HPCC Join this session to learn how ECL can help you create powerful data queries through a comprehensive and dedicated data lake platform.

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Pickl AI

NOVEMBER 5, 2024

Data Connectivity Tableau and Power BI offer robust data connectivity, but some differences exist. Tableau supports many data sources, including cloud databases, SQL databases, and Big Data platforms.

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ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

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Pickl AI

APRIL 26, 2024

The mode is the value that appears most frequently in a data set. Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure?

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AWS Machine Learning Blog

SEPTEMBER 6, 2024

Generative artificial intelligence (AI) applications powered by large language models (LLMs) are rapidly gaining traction for question answering use cases. Rahul Jani is a Data Architect with AWS Professional Services. He is specialized in the design and implementation of big data and analytical applications on the AWS platform.

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John Snow Labs

FEBRUARY 29, 2024

They advocate for the importance of transparency, informed consent protections, and the use of health information exchanges to avoid data monopolies and to ensure equitable benefits of Gen AI across different healthcare providers and patients​​. However as AI technology progressed its potential within the field also grew.

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Marktechpost

NOVEMBER 1, 2024

The development of Artificial Intelligence (AI) tools has transformed data processing, analysis, and visualization, increasing the efficiency and insight of data analysts’ work. With so many alternatives, selecting the best AI tools can allow for deeper data research and greatly increase productivity.

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IBM Journey to AI blog

JUNE 15, 2023

The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights. Moreover, increased regulatory requirements make it harder for enterprises to democratize data access and scale the adoption of analytics and artificial intelligence (AI).

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IBM Journey to AI blog

JULY 5, 2023

This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale. Another unexpected challenge was the introduction of Spark as a processing framework for big data. Comprehensive data security and data governance (i.e.

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Pickl AI

JUNE 11, 2024

In-Memory Computing This technology allows for storing and processing data in RAM for faster query response times, enabling real-time analytics. Big Data Integration Data warehouses are increasingly incorporating big data technologies to handle vast volumes of data from diverse sources.

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IBM Journey to AI blog

AUGUST 3, 2023

IBM Security® Discover and Classify (ISDC) is a data discovery and classification platform that delivers automated, near real-time discovery, network mapping and tracking of sensitive data at the enterprise level, across multi-platform environments.

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Pickl AI

DECEMBER 25, 2024

Programming languages like Python and R are commonly used for data manipulation, visualization, and statistical modeling. Machine learning algorithms play a central role in building predictive models and enabling systems to learn from data. Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently.

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