IBM Journey to AI blog

MARCH 18, 2024

Air Force base planning an advanced, utility-scale geothermal power system. Solar photovoltaic systems, for example, generally don’t have moving parts and can last 25 years or more with little maintenance. Affordable energy When it comes to costs, renewable energy sources once compared unfavorably to fossil fuels.

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The MLOps Blog

MARCH 15, 2023

1 The serverless services which can be triggered on demand are in fact a great help for anyone who is looking for efficient ML model deployments. We need to be cognizant of these cost additions while using Cloud services and should always opt for serverless on-demand services, which are triggered only on demand.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Quantitative modeling and forecasting – Generative models can synthesize large volumes of financial data to train machine learning (ML) models for applications like stock price forecasting, portfolio optimization, risk modeling, and more. Multi-modal models that understand diverse data sources can provide more robust forecasts.

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AWS Machine Learning Blog

DECEMBER 18, 2023

As industries evolve in today’s fast-paced business landscape, the inability to have real-time forecasts poses significant challenges for industries heavily reliant on accurate and timely insights. This is a guest post co-written with Babu Srinivasan from MongoDB.

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AWS Machine Learning Blog

MAY 15, 2023

Predicting future demand is one of the most important insights for Getir and one of the biggest challenges we face. Getir relies heavily on accurate demand forecasts at a SKU level when making business decisions in a wide range of areas, including marketing, production, inventory, and finance.

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AWS Machine Learning Blog

MAY 4, 2023

Time series forecasting refers to the process of predicting future values of time series data (data that is collected at regular intervals over time). Forecast uses ML to learn not only the best algorithm for each item, but also the best ensemble of algorithms for each item, automatically creating the best model for your data.

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DataRobot Blog

NOVEMBER 3, 2022

Recently, new forecasting features and an improved integration with Google BigQuery have empowered data scientists to build models with greater speed, accuracy, and confidence. Forecasting is an important part of making decisions every single day. Forecasting demand, turnover, and cash flow are critical to keeping the lights on.

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IBM Journey to AI blog

APRIL 4, 2024

In a report from Technavio (link resides outside ibm.com), the private cloud services market size is estimated to grow at a CAGR of 26.71% between 2023 and 2028, and it is forecast to increase by USD 619.08 Private cloud combines the main benefits of cloud computing—chiefly on-demand access to computing resources (e.g.,

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AWS Machine Learning Blog

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. In addition, you can set time intervals and granularity, as well as forecast future costs based on your historical cost and usage data. If you use consolidated billing, you can also filter by linked account.

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IBM Journey to AI blog

JUNE 14, 2023

Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g., In smart factories, IIoT devices are used to enhance machine vision, track inventory levels and analyze data to optimize the mass production process.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

And although generative AI has appeared in previous events, this year we’re taking it to the next level. If you miss them, you can watch them on demand after re:Invent. Organizations are rapidly innovating to create the right architecture for scaling generative AI securely, economically, and responsibly to deliver business value.

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The MLOps Blog

JANUARY 26, 2024

Keeping track of how exactly the incoming data (the feature pipeline’s input) has to be transformed and ensuring that each model receives the features precisely how it saw them during training is one of the hardest parts of architecting ML systems. Overview of the high-level architecture of an ML system centered around a feature store.

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AWS Machine Learning Blog

FEBRUARY 8, 2023

It is a fully managed service, so you can scale your model deployment, reduce inference costs, manage models more effectively in production, and reduce operational burden. SageMaker supports automatic scaling (auto scaling) for your hosted models. When the workload increases, auto scaling brings more instances online.

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Data Science Dojo

AUGUST 31, 2023

Tom Hanks, and Meryl Streep among many others) launched a strike in part to call for tightening regulations on the use of artificial intelligence in creative projects. Optimizing power grids: LLMs can be used to optimize power grids by predicting demand, identifying outages, and routing power.

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IBM Journey to AI blog

MARCH 28, 2024

According to a report from Future Market Insights (link resides outside ibm.com), the global private cloud services market is forecast to grow to USD 405.30 For a deeper dive, check out our blog post, “ Public cloud vs. private cloud vs. hybrid cloud: What’s the difference? billion by 2033, up from USD 92.64

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The MLOps Blog

MAY 31, 2023

While there are things that all internal ML platforms have in common, there are particular model types that make more sense for an eCommerce, just like: 1 Product search 2 Personalization and recommendation 3 Price optimization 4 Demand forecasting Product search Product search is the foundation for any eCommerce business.

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The MLOps Blog

AUGUST 3, 2023

At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows. At a high level, it’s the layer above. But the hard part is people’s skill sets differ.

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IBM Journey to AI blog

JANUARY 30, 2024

According to a recent forecast from Gartner (link resides outside ibm.com) worldwide end-user spending on public cloud services is expected to grow 20.4% Infrastructure-as-a-service (IaaS) delivers compute, network and storage resources to consumers on-demand, over the internet and as a pay-per-use service. to total $678.8

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The MLOps Blog

OCTOBER 3, 2023

The second part was very interesting because there was one year I had four jobs. That was part of the work at the early-stage real estate startup. I had C-level people saying: “Hey, we will write you those letters to get into grad programs.”. But yeah, for the most part. Mikiko Bazeley: Yeah, absolutely.

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phData

DECEMBER 4, 2023

This blog was originally written by Erik Hyrkas and updated for 2024 by Justin Delisi This isn’t meant to be a technical how-to guide — most of those details are readily available via a quick Google search — but rather an opinionated review of key processes and potential approaches. Congratulations!

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AWS Machine Learning Blog

JUNE 13, 2023

In this post, we show how the second generation of AWS Inferentia builds on the capabilities introduced with AWS Inferentia1 and meets the unique demands of deploying and running LLMs and FMs. A custom operator is composed of low-level primitives available in the Tensor Factory Functions and accelerated by GPSIMD-Engine.

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AWS Machine Learning Blog

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. In Part 1 , we showed how to get started using AWS Cost Explorer to identify cost optimization opportunities in SageMaker. You can also include cost-allocation tags in your query for an additional level of granularity.

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DataRobot Blog

JUNE 24, 2022

Recent examples include the pandemic shock, which led to a temporary market freeze, followed by a demand and supply imbalance that brought to unexpected rises in real estate prices. Also, they can scale the AI lifecycle at a fraction of the cost compared to in-house alternative analytical solutions.

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DataRobot Blog

NOVEMBER 8, 2022

Organizations like Mindshare, a global media agency network, drive client value by using data to understand consumers and how media influences them on a deeper level than any organization on the planet. As mentioned above, understanding performance should be ingrained in all parts of the marketing value chain.

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Chatbots Life

MAY 3, 2023

That is the perfect example of high-level conversational AI! Evaluation of customer satisfaction : Another scenario in which your consumers would rather deal with a chatbot than a human representative is when they are asked to rate their level of pleasure. It can understand our intent. Go through the multiple layers of a question.

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Flipboard

APRIL 13, 2023

Our e-commerce recommendations engine is driven by ML; the paths that optimize robotic picking routes in our fulfillment centers are driven by ML; and our supply chain, forecasting, and capacity planning are informed by ML. To give a sense for the change in scale, the largest pre-trained model in 2019 was 330M parameters.

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AWS Machine Learning Blog

MARCH 29, 2023

The key to scaling the use of ML is making it more accessible. Today, customers are using Canvas to address a wide range of use cases across verticals including churn detection, sales conversion, and time series forecasting. He cares about making the world a better place through technology and loves being part of this journey.

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