AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

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ML Generative AI AI AI 100

Unite.AI

OCTOBER 30, 2023

Ensuring AI stability: DevOps, especially continuous integration, prevents faulty product releases. Model development Efficient development and deployment is one of the important yet dicey aspects of AI/ML development. AI/ML development is an ongoing process focused on delivering value without compromising quality.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. This is a guest post written by Axfood AB.

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Machine Learning DevOps Data Quality Data Scientist 115

Unite.AI

JANUARY 17, 2024

A recent report from Aporia , a leader in the AI control platform sector, has brought to light some startling findings in the realm of artificial intelligence and machine learning (AI & ML). The survey’s findings emphasize the necessity of vigilant monitoring and observation of production models.

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Large Language Models Machine Learning ML AI 147

IBM Journey to AI blog

FEBRUARY 12, 2024

Advancements in technology mean customers can order virtually any product and receive it in less than a week. How we arrived at this CX environment Early days of retail Before mass media, it was harder to know what other products were available outside of the ones offered by the local store.

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IBM Journey to AI blog

APRIL 9, 2024

” Watsonx.data uses machine learning (ML) applications to simulate data that represents ball positioning projections. “We can keep track of the model version we use, promote it to validation, and eventually deploy it to production once we feel confident that all the metrics are passing our quality estimates.

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Unite.AI

MAY 13, 2024

Could you start by telling us a bit more about CLEW Medical’s AI-enabled platform and its unique capabilities in the MedTech industry? The clinical surveillance platform we’ve built is the first to have FDA-cleared AI-driven prediction models for critical care. Can you discuss the methodology and the specific findings of this study?

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Unite.AI

OCTOBER 3, 2023

Guy Yehiav is the President of SmartSense, a platform created to use the power of the Internet of Things (IoT) to help customers protect the assets most critical to the success of their business. I saw the gaps that needed to be closed in supply chain production manufacturing through the lens of industrial management.

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Marktechpost

NOVEMBER 29, 2023

Machine learning operations, or MLOps, are a set of processes to standardize and streamline the continuous delivery of high-performing models in production by bringing together machine learning (ML) development and ML deployment. Making and refining ML models is known as ML development.

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IBM Journey to AI blog

JANUARY 19, 2024

Or personalization can occur on the product-level. Staying ahead of key technology trends By now, it’s abundantly clear that technologies like artificial intelligence (AI) and machine learning (ML) will revolutionize how customer-centric organizations interact and deliver value to all stakeholders, especially their customers.

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AI News

MARCH 8, 2024

” The role involves collaborating with ML engineers, researchers, and product teams to develop innovative robotics solutions that “push the boundaries of what’s possible in robotics and AI.” Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Robotics Big Data Deep Learning ML Engineer 235

Marktechpost

APRIL 15, 2024

More than manually correcting these flaws is required; a systematic benchmarking platform must be established to ensure fairness and consistency across assessments. Such a platform would streamline efforts and promote innovation in GNN systems. Despite recent DNN benchmark platforms, GNN benchmarking still needs to be explored.

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AI News

JUNE 28, 2023

In this week’s round-up, we share the top 10 ways AI and ML technologies are transforming the world’s data centres, driving efficiencies and sustainability Across the world’s industries, AI and ML are enabling a huge degree of transformation. Alongside this, the models can identify the optimum conditions and WUE for a data centre.

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Unite.AI

JULY 11, 2023

As Generative AI evolves, staying up-to-date with this technology has become crucial for several reasons: Ensures business productivity , cost-effectiveness, and increased efficiency. What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques.

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Marktechpost

MARCH 30, 2024

However, making AI work seamlessly with web and mobile platforms takes work. Developers often need help balancing performance and ease of use, especially when incorporating sophisticated machine learning (ML) models into their applications.

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IBM Journey to AI blog

MAY 18, 2023

Forrester Research just released “ The Forrester Wave™: AI Decisioning Platforms, Q2 2023: The 13 Providers That Matter Most And How They Stack Up ” by Mike Gualtieri with Aaron Katz, Catherine Marcin, and Jen Barton, and IBM is proud to be recognized as a Leader.

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AssemblyAI

JANUARY 24, 2024

Many teams are turning to revenue intelligence tools and platforms to help. Using a suite of tools, revenue intelligence platforms can help sales teams easily collaborate, spot risks and opportunities in potential deals, create accurate forecasts, coach reps to meet their numbers, and automate manual tasks.

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Large Language Models Automation AI AI 147

Unite.AI

FEBRUARY 28, 2024

Among high-level sales, pharmaceuticals rank among the hardest products to sell, especially in today’s fast-paced market, where new and specialized drugs are approved every week. The best way teams can meet these challenges is to deploy an AI/ML platform that will provide them with the guidance they need, as they need it.

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Unite.AI

FEBRUARY 16, 2024

As the digital user base expands globally, it is increasingly important for software enterprises to ensure that their applications and products are designed to handle large and growing amounts of data and traffic. These users expect reliable, high-availability software products. Cloud platforms.

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Unite.AI

MARCH 15, 2024

Recent reports from Bloomberg and the Financial Times shed light on Sam Altman's, the CEO of OpenAI, negotiations with Middle-Eastern investors to initiate chip production, aiming to reduce the AI sector's reliance on Nvidia chips. Nevertheless, addressing the cost-effectiveness of ML models for business is something companies have to do now.

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Marktechpost

APRIL 8, 2024

These platforms, backed by leading tech giants, showcase their unique strengths and applications in AI, fostering advancements and providing tools for developers, researchers, and businesses alike. The advanced capabilities of its products can introduce a steep learning curve for optimal use.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses. DL, a subset of ML, excels at understanding context and generating human-like responses.

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Conversational AI Chatbots NLP AI 267

Unite.AI

SEPTEMBER 29, 2023

Vitalii Romanchenko, is the CEO & Co-founder of Elai , an ai video generator platform that empowers individuals to produce top-notch videos without the need for microphones, cameras, actors, or studios. However, we lacked deep ML expertise to create high-quality avatars, so we teamed up with Alexey, an experienced ML lead and lecturer.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

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Data Scientist ML Data Science Automation 91

Unite.AI

OCTOBER 16, 2023

However, with great power comes great responsibility, and managing these behemoth models in a production setting is non-trivial. LLMOps versus MLOps Machine learning operations (MLOps) has been well-trodden, offering a structured pathway to transition machine learning (ML) models from development to production.

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Large Language Models LLM Machine Learning DevOps 189

Marktechpost

APRIL 18, 2024

The field of artificial intelligence is rapidly evolving, and taking a prototype to production stage can be quite challenging. A Seamless Transition to Production AI development often begins in experimental environments such as Jupyter notebooks, which are useful for prototyping but not well-suited for production environments.

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AI News

MARCH 8, 2024

She is focused on leading the airlines, hospitality companies, cruise and freight logistics and rail companies to driving innovation that will enhance the customer and employee journey, while driving increased productivity and cost reduction with the use of Microsoft’s technology and its ecosystem of solution partners.

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Marktechpost

DECEMBER 7, 2023

In software development, teams often face challenges when working with sensitive production data for testing and development purposes. Neosync is a platform designed to seamlessly connect to a snapshot of a production database, allowing teams to generate synthetic data based on the production schema or anonymize existing production data.

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AWS Machine Learning Blog

APRIL 18, 2024

This post is co-authored by Jackie Rocca, VP of Product, AI at Slack Slack is where work happens. It’s the AI-powered platform for work that connects people, conversations, apps, and systems together in one place. None of your data is used to train the underlying models.

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Marktechpost

MARCH 12, 2024

When building machine learning (ML) models using preexisting datasets, experts in the field must first familiarize themselves with the data, decipher its structure, and determine which subset to use as features. So much so that a basic barrier, the great range of data formats, is slowing advancement in ML.

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Metadata Machine Learning ML Data Discovery 120

Marktechpost

MAY 12, 2024

Greip provides an AI-powered fraud protection solution that utilizes ML modules to validate each transaction in an app and assess the possibility of fraudulent behavior. SHIELD SHIELD is a device-first fraud prevention and risk intelligence product that utilizes AI technologies and cutting-edge device fingerprinting.

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AI Tools Neural Network Artificial Intelligence Artificial Intelligence 103

Marktechpost

DECEMBER 27, 2023

PostgresML extends PostgreSQL into a comprehensive platform for classical machine learning and AI. Its key advantage is the ability to train and deploy ML models directly within the database using standard SQL queries. It allows a smooth transition from model training to production deployment using simple SQL queries.

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Marktechpost

MARCH 16, 2024

Machine learning (ML) workflows, essential for powering data-driven innovations, have grown in complexity and scale, challenging previous optimization methods. This scenario necessitated a shift towards a more unified and efficient approach to ML workflow management. A team of researchers from Ant Group, Red Hat, Snap Inc.,

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AWS Machine Learning Blog

JANUARY 10, 2024

ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing ML models and require a robust MLOps platform to work in.

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ML Machine Learning ETL Data Scientist 101

AWS Machine Learning Blog

MAY 16, 2024

LotteON aims to be a platform that not only sells products, but also provides a personalized recommendation experience tailored to your preferred lifestyle. Although NCF has a simple model architecture, it has shown a good performance, which is why we chose it to be the prototype for our MLOps platform.

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Marktechpost

APRIL 18, 2024

What sets Llama 3 apart is its availability on major cloud platforms such as AWS, Google Cloud, and Microsoft Azure, making it accessible to developers worldwide. As Llama 3 is integrated into more platforms and applications, it is anticipated to have a significant impact on productivity, creativity, and problem-solving.

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Large Language Models Artificial Intelligence Artificial Intelligence AI 133

DataRobot Blog

MARCH 8, 2023

Leveraging DataRobot’s JDBC connectors, enterprise teams can work together to train ML models on their data residing in SAP HANA Cloud and SAP Data Warehouse Cloud, as well as have an option to enrich it with data from external data sources.

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