IBM Journey to AI blog

SEPTEMBER 11, 2023

We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge.

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Algorithm Automation AI AI 285

Analytics Vidhya

JUNE 20, 2023

Introduction In today’s data-driven world, organizations across industries are dealing with massive volumes of data, complex pipelines, and the need for efficient data processing.

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Python 254

IBM Journey to AI blog

MARCH 27, 2024

As AI technology advances, the need for high-performance, cost-effective and easily deployable solutions reached unprecedented levels. EclipseStore, a groundbreaking data storage platform from MicroStream , is revolutionizing the development of cutting-edge software applications. Low infrastructure costs.

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Automation Robotics AI AI 257

AI News

MARCH 8, 2024

open as in open-source, not as in Open AI) Looking for engineers to build real robots in Paris ?? Cadene – who will be leading the robotics initiative – revealed that Hugging Face is hiring robotics engineers in Paris, France. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Robotics Big Data Deep Learning ML Engineer 231

IBM Journey to AI blog

SEPTEMBER 26, 2023

Ground engineers must inspect the damage, determine its precise location, depth and extent, and decide if the craft is still airworthy. Airlines can use this technology to enhance ground engineers’ decision-making by providing a more immersive and interactive experience.

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AI AI 259

Unite.AI

OCTOBER 20, 2023

Ensure data privacy and security: AI models use mountains of data. Companies are leveraging first- and third-party data to feed models. They also use privacy-preserving learning techniques, such as creating synthetic data to overcome sparsity issues. However, companies should set AI principles and policies from the start.

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IBM Journey to AI blog

NOVEMBER 15, 2023

Watsonx is comprised of three components that empower businesses to customize their AI solutions: watsonx.ai Watsonx is comprised of three components that empower businesses to customize their AI solutions: watsonx.ai To accelerate this process, companies can implement AI-infused customer care commercial solutions.

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Marktechpost

APRIL 7, 2024

Machine Learning Design Patterns “Machine Learning Design Patterns” covers the most common problems in machine learning and its solutions. Introducing MLOps This book introduces the fundamentals of MLOps to help data scientists operationalize machine learning models.

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Analytics Vidhya

OCTOBER 19, 2021

This article was published as a part of the Data Science Blogathon Snowflake is a cloud data platform that comes with a lot of unique features when compared to traditional on-premise RDBMS systems. The post 5 Features Of Snowflake That Data Engineers Must Know appeared first on Analytics Vidhya.

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Data Platform Data Science Python 390

Unite.AI

JUNE 15, 2023

NLP Engineers play a crucial role in developing systems that can process and analyze vast amounts of textual data, allowing for applications such as search engines, voice assistants, and sentiment analysis. NLP Engineer Salary When it comes to the earnings of an NLP Engineer, several factors can influence the salary offered.

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AI News

MAY 8, 2024

OpenAI has also incorporated watermarking into its Voice Engine custom voice model, currently in limited preview. “While technical solutions like the above give us active tools for our defences, effectively enabling content authenticity in practice will require collective action,” OpenAI states.

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Analytics Vidhya

JULY 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Apache Airflow “Apache Airflow is the most widely-adopted, open-source workflow management platform for data engineering pipelines. Most organizations today with complex data pipelines to […].

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Data Science Python 322

Unite.AI

NOVEMBER 30, 2023

Your PreSales team, which includes sales engineers (solutions engineers, solutions architects, solutions consultants, systems engineers, customer engineers, pre-sales consultants, technical account managers, applications engineers or field applications engineers) are positioned at the nexus of technical expertise and sales acumen.

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Analytics Vidhya

JUNE 6, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss advanced topics in hives which are required for Data-Engineering. Whenever we design a Big-data solution and execute hive queries on clusters it is the responsibility of a developer to optimize the hive queries.

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AI News

JANUARY 18, 2024

The AI system combines a neural language model with a rule-bound deduction engine, providing a synergy that enables the system to find solutions to complex geometry theorems. Evan Chen, a maths coach and former Olympiad gold medalist, evaluated a sample of AlphaGeometry’s solutions.

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Analytics Vidhya

MARCH 17, 2022

To Data Science Enthusiasts, We are happy to bring you another webinar into ‘The DataHour’ series. This webinar will be conducted by Amir Meimand, who is currently working as Principal Solution Engineering on the Salesforce strategic solution team focusing on Data Science […].

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ML Data Science Machine Learning 287

IBM Journey to AI blog

OCTOBER 26, 2023

Through this integration, FinOps practitioners cansurface key optimization metrics from Turbonomic within the Cloudability interface, which can help facilitate deeper cost analysis and partnership between engineering, business and finance teams. It’s a first step in bringing these two powerful solutions together.

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Unite.AI

FEBRUARY 1, 2024

However, only half a century after, when Chat GPT and other notable large language models proved the technology as commercially viable across a vast spectrum of industries, businesses understood that they needed Generative AI solutions, as soon as possible. Here’s where we come in – accelerators and consulting companies.

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Large Language Models Generative AI AI AI 299

IBM Journey to AI blog

NOVEMBER 29, 2023

With over 200 trains and a multitude of sensors, Downer has accumulated a vast amount of data. Fine-tuning data insights with enhanced collaboration and expertise Downer continuously works to enhance operational efficiency, minimizing maintenance costs and impacts to transportation schedules.

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IBM Journey to AI blog

APRIL 22, 2024

An article from Columbia University states that LLM queries use up to five times more power than a traditional search engine. As data use and processing activities increase, so too will global emissions. IBM’s concrete actions to support AI sustainability AI creation requires vast amounts of energy and data.

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Marktechpost

APRIL 18, 2024

In a world where online privacy and data security are major concerns, people often seek ways to access information without compromising their personal information. Traditional search engines require users to trade their privacy for convenience, as they collect data on user queries and behaviors.

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IBM Journey to AI blog

APRIL 15, 2024

Or we create a data lake, which quickly degenerates to a data swamp. The solution lies in generative AI Let’s explore some of the capabilities or use cases where we see the most traction: 1. Contextual data understanding Data systems often cause major problems in manufacturing firms.

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Generative AI AI AI Large Language Models 257

IBM Journey to AI blog

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. Search engine optimization (SEO): Deploying an AI solution to enhance search engine optimization (SEO) helps marketers increase page rankings and develop more sound strategies.

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Automation Data Scientist AI AI 214

Unite.AI

JANUARY 2, 2024

In 2020, Meta introduced the RAG framework to extend LLMs beyond their training data. Original RAG Model by Meta ( Image Source ) This innovative technique departs from a data-driven approach, incorporating knowledge-driven components, enhancing language models' accuracy, precision, and contextual understanding.

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LLM Large Language Models Chatbots Natural Language Processing 243

IBM Journey to AI blog

APRIL 20, 2023

This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change? Moreover, banks must stay in compliance with industry regulations like BCBS 239, which focus on improving banks’ risk data aggregation and risk reporting capabilities.

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ETL Automation Data Discovery Metadata 183

Unite.AI

MARCH 5, 2024

The search engine confuses him with a convicted felon Jeffery Leon Battle. To tackle hallucinations, Retrieval-Augmented Generation (RAG) has emerged as a promising solution. This method helps reduce inaccuracies and ensures the LLM's responses are more reliable and grounded in accurate data.

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LLM Large Language Models Prompt Engineer Prompt Engineering 290

IBM Journey to AI blog

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. How can you master prompt engineering? times higher ROI.

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IBM Journey to AI blog

SEPTEMBER 13, 2023

Organizations are wrestling with a pressing concern: the speed at which they respond to and contain data breaches falls short of the escalating security threats they face. An effective attack surface management (ASM) solution can change this. What’s more, it took 277 days to identify and contain a data breach.

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Automation 259

Marktechpost

JANUARY 31, 2024

Data scientists and ML engineers often need help to build full-stack applications. These professionals typically have a firm grasp of data and AI algorithms. These solutions can be time-consuming and may not be feasible for data professionals who wish to focus primarily on their areas of expertise.

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Data Scientist Machine Learning Python ML Engineer 132

AI News

NOVEMBER 30, 2023

We discussed how they are driving high performance, scalable and energy-efficient solutions built for the sustainable cloud. The environmental impact of energy-intensive hardware poses a moral and practical challenge, demanding solutions that reconcile performance with responsible resource usage.

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Unite.AI

JANUARY 16, 2024

has quickly risen to prominence, offering innovative solutions that transform design into code with groundbreaking efficiency. With predictions of a global shortfall of 4 million developers by 2025 by the International Data Corporation (IDC), and the US Labor Department estimating a potential loss of $8.5

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Unite.AI

OCTOBER 6, 2023

The evening focused on engaging discussions about AI's influence across industries—how it's honing data-driven decision-making, enhancing operational efficiency, and enriching customer experiences. In manufacturing, for example, technicians could use predictive maintenance alerts informed by IoT data.

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Unite.AI

JANUARY 24, 2024

Describing the visual and symbolic nuances of geometry in words creates a void in training data, limiting AI's capacity to learn effective problem-solving. These predictions act as clues, aiding the symbolic engine in making deductions and inching closer to the solution.

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Large Language Models AI AI Computer Vision 140

AWS Machine Learning Blog

APRIL 24, 2024

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The Amazon D&C team implemented the solution in a pilot for Amazon engineers and collected user feedback.

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Unite.AI

OCTOBER 11, 2023

The massive leaps in innovation for software, technology, and computing can be challenging to process given our constant use of the latest and greatest solutions. But for industries relying on timely information and data – like corporate knowledge management – the recent changes have made a massive impact and deserve to be recognized.

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Marktechpost

APRIL 19, 2024

The rapidly developing field of artificial intelligence makes it difficult for traditional data management technologies to remain consistent. Slowness and errors result from data groups, disjointed workflows, and manual procedures. Furthermore, the business teams need help to obtain and effectively utilize this data.

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