Pickl AI

NOVEMBER 3, 2023

This article explores the emergence, development, and benefits of AI in the stock market, including data-driven insights and automated decision-making It emphasizes how AI can forecast market trends and patterns using historical data and in-the-moment analysis. Keep up to date and learn how to use AI in your trading practice.

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Smart Data Collective

JULY 2, 2019

Big data is playing a surprisingly important role in the evolution of renewable energy. IBM recently published a fascinating paper on the applications of big data for solar and other green energy sources. Global Experts Weigh in On Renewable Energy Dependence on Big Data. This is especially true with wind energy.

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IBM Journey to AI blog

JANUARY 25, 2024

Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. 2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient. What’s at stake? Now, consider the just-in-case approach.

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IBM Journey to AI blog

DECEMBER 1, 2023

While there are different types of enterprise resource planning systems, all solutions are built to help improve business functions and business operations. If these factors are taken into consideration, it will be much easier to narrow down which types of ERP solutions might meet the organization’s needs.

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IBM Journey to AI blog

MARCH 18, 2024

New developments in renewable energy are making headlines and inspiring hope in communities worldwide, from a remote Arctic village working to harness solar and wind power under challenging conditions to a U.S. But for all of the advantages of renewable energy, its development and use has disadvantages, too.

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Smart Data Collective

APRIL 7, 2022

Predictive analytics tools use market data to forecast trends and ensure e-commerce companies sell products that will be in demand. The report shows that 65% of B2B companies now offer digital commerce solutions, which is a 53% increase from 2021. They can store data on their products and integrate it through ERP.

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IBM Journey to AI blog

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. See what’s ahead AI can assist with forecasting. AI has also been used to improve mechanical efficiency and reduce carbon emissions in engines.

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AWS Machine Learning Blog

FEBRUARY 15, 2024

Amazon SageMaker Canvas addresses this dilemma by providing domain experts a no-code interface to create powerful analytics and ML models, such as forecasts, classification, or regression models. The following diagram illustrates the solution architecture. Then we deploy the model as a SageMaker endpoint.

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Pickl AI

JANUARY 23, 2024

Problem-Solving Sharp problem-solving skills for proposing innovative solutions. Machine Learning Explored and applied ML algorithms for intelligent solutions. 14,60,000 Business Analytics Manager Business Analytics Managers lead teams in implementing analytics solutions aligned with organisational objectives.

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AWS Machine Learning Blog

MARCH 8, 2023

An important vertical for MPII is asset management for renewable energy and energy storage assets, which are critical to reduce the carbon intensity of our power infrastructure. This solution helps market analysts design and perform data-driven bidding strategies optimized for power asset profitability.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

In the world of data-driven decision-making, time series forecasting is key in enabling businesses to use historical data patterns to anticipate future outcomes. Accurate forecasting in these regions is important in determining how likely an extreme event is and whether to raise an alarm.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Renewable energy is energy produced from Earth’s natural resources, those that can be replenished faster than they are consumed. Shifting to these renewable energy sources is key to the fight against climate change. For example, flow battery technology is being improved to support grid-scale energy storage.

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How to Learn Machine Learning

JANUARY 21, 2023

This market growth can be attributed to factors such as increasing demand for AI-based solutions in healthcare, retail, and automotive industries, as well as rising investments from tech giants such as Google , Microsoft , and IBM. With the help of AI, cities will be able to reduce energy consumption and manage resources more effectively.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Renewable energy is energy produced from Earth’s natural resources, those that can be replenished faster than they are consumed. Shifting to these renewable energy sources is key to the fight against climate change. For example, flow battery technology is being improved to support grid-scale energy storage.

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DataRobot

OCTOBER 15, 2021

At DataRobot, our engineers and data scientists are thinking about how to harness the power of AI and ML to reduce our carbon footprint, detect where unintended energy emissions may occur, predict anomalous and dangerous weather, and ensure we always have enough energy to meet our needs. Carbon Footprint – Energy Sourcing.

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Pickl AI

JULY 2, 2023

It is a unified analytics platform that simplifies building big data and AI solutions. Optimizing Energy Production and Distribution The energy sector faces numerous challenges in optimizing production, reducing costs, and ensuring efficient distribution. It brings together Data Engineering, Data Science, and Data Analytics.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready solution in the cloud involves a series of trade-off between resources, time, customer expectation, and business outcome. This post focuses on the Cost Optimization pillar of the IDP solution. Pay only for the resources you consume, and increase or decrease usage depending on business requirements.

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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% Cloud automation solutions create a software layer that runs on top of virtual machines (VM) in either public or private cloud settings. to total $678.8 billion in 2024, up from $563.6

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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 Amazon Web Services (AWS), Google Cloud, IBM Cloud, Microsoft Azure) and technology companies like VMware and Red Hat offer private cloud platforms and solutions. billion in 2023.

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AWS Machine Learning Blog

MARCH 2, 2023

However, the same piece of news can have a positive or negative impact on stock prices, which presents a challenge for this task. In our solution, we implement a hyperparameter grid search on an EKS cluster for tuning a bert-base-cased model for classifying positive or negative sentiment for stock market data headlines.

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AWS Machine Learning Blog

JUNE 13, 2023

Until now, customers who had large models could only use instances that were built for training, but this is a waste of resources––given that they’re more expensive, consume more energy, and their workload doesn’t make use of all the available resources (such as faster networking and storage). 42.37 $0.0000008 $0.0000005 * c6a.8xlarge

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Dataconomy

SEPTEMBER 13, 2023

These models are typically used for time-series data, such as stock prices, weather forecasts, and language generation. There are several types of diffusion models available, including VAEs (Variational Autoencoders), Denoising Diffusion Models, and Energy-Based Models. How do diffusion models work?

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AWS Machine Learning Blog

MAY 30, 2023

The cost of SageMaker real-time endpoints is based on the per instance-hour consumed for each instance while the endpoint is running, the cost of GB-month of provisioned storage (EBS volume), as well as the GB data processed in and out of the endpoint instance, as outlined in Amazon SageMaker Pricing.

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