IBM Journey to AI blog

OCTOBER 9, 2023

It can do this primarily by helping automate government services offered to citizens, as well as create greater efficiencies in how agencies communicate internally and with people who rely on public services. In this way, AI-enhanced automation and efficiency could help enable government agencies to serve as a hub for citizens.

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Applied Data Science

JANUARY 4, 2022

Hiding your 2021 resolution list under a glass of champagne? To write this post we shook the internet upside down for industry news and research breakthroughs and settled on the following 5 themes, to wrap up 2021 in a neat bow: ? In 2021, the following were added to the ever growing list of Transformer applications.

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IBM Journey to AI blog

DECEMBER 4, 2023

This approach empowers organizations to utilize data-driven analytics, artificial intelligence (AI) and automation to make well-informed decisions swiftly and accurately, enabling them to navigate the complexities of the modern marketplace with agility and precision.     This is where autonomous planning shines.

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IBM Journey to AI blog

FEBRUARY 29, 2024

One 2021 IBM survey revealed that 61% of respondents indicated they had used containers in at least 50% of the new applications they had built during the last 2 years. An even larger group of respondents (64%) reported expecting to use containers for at least 50% of the apps they would build over the next 2 years.

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DataRobot Blog

APRIL 4, 2022

Bringing Marketing Mix Modeling into the 21st century with ML and Automation. This task is essentially automated by the algorithm itself. dollars in 2021 , it is vital for the businesses to know how much value they are getting from those investments as well as how best to allocate budgets. Breakthrough #2: Shapley Value.

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Flipboard

FEBRUARY 3, 2023

Seattle is an “ anchor customer ” for the software, according to Chicago-based startup Truleo, a startup founded in 2021 that grew out of a platform first developed to analyze phone calls and text messages between Wall Street bankers. The Seattle Police Department has been using the technology since last year, the company says. “The

Natural Language Processing 98

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Flipboard

APRIL 19, 2023

Founded out of Berlin in 2021, Qdrant is targeting AI software developers with an open source vector search engine and database for unstructured data, which is an integral part of AI application development particularly as it relates to using real-time data that hasn’t been categorized or labeled.

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AI Developer AI Development Large Language Models LLM 123

Mlearning.ai

FEBRUARY 7, 2023

It can write, explain, and correct code in many major programming languages (such as Python and JavaScript), data formats (such as HTML, JSON, XML, and CSV) and other structured languages like SQL. 1x: A nice prompt forcing the AI to interrupt itself while explaining AI alignment. No wonder it speaks its mothers‘ tongue fluently.

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ChatGPT Large Language Models Explainability Machine Learning 105

Marktechpost

MAY 2, 2024

NYC Bias Audit Law Employers and employment agencies in New York City are prohibited from using Automated Employment Decision Tools (AEDTs) by Local Law 144 of 2021, which the DCWP enforces. Explainability and Transparency: Users should be able to understand how AI systems work.

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Towards AI

JUNE 5, 2023

In May 2021, Khalid Salama, Jarek Kazmierczak, and Donna Schut from Google published a white paper titled “Practitioners Guide to MLOps”. Automation✓ The system must emphasize automation.✓ The goal should be to automate all aspects, from data acquisition and processing to training, deployment, and monitoring.

ML 52

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Flipboard

JUNE 20, 2023

In this guide , we explain the key terms in the field and why they matter. It imitates how the human brain works using artificial neural networks (explained below), allowing the AI to learn highly complex patterns in data. Dezeen's new editorial series, AItopia , is all about artificial intelligence.

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AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. In the world of online retail, creating high-quality product descriptions for millions of products is a crucial, but time-consuming task.

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IBM Journey to AI blog

AUGUST 1, 2023

The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021. Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data.

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Generative AI Data Scientist BERT Machine Learning 140

Pickl AI

JANUARY 29, 2024

Opportunities abound in sectors like healthcare, finance, and automation. AI automates and optimises Data Science workflows, expediting analysis for strategic decision-making. Market Value and Growth In 2021, the market size of Global Data Science platforms reached USD 64.14 billion in 2022 to a remarkable USD 484.17

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DataRobot Blog

MAY 23, 2022

This image displays the total truck crossings per port of entry in January 2021. DataRobot’s Automated Time Series Modeling rapidly builds forecasting models to scale across an organization’s needs. DataRobot Time Series Modeling. Predicting Border Surges. Example of model accuracy over time.

AI 59

AI AI Automation Explainability 59

Flipboard

APRIL 23, 2023

Locaria has been using automation of multilingual content and AI for their global brands in particular, Hannes Ben, CEO of Locaria, said the agency is continuing to work with AI to “connect the dots” across audience insights, media plans, content and performance – which traditionally work in silos.

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AWS Machine Learning Blog

DECEMBER 4, 2023

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation.

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AWS Machine Learning Blog

JANUARY 6, 2023

They go quite a few steps beyond AI/ML experimentation: to achieve deployment anywhere, performance at scale, cost optimization, and increasingly important, support systematic model risk management—explainability, robustness, drift, privacy protection, and more. Vendor Requirements for the IDC MarketScape.

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Becoming Human

MARCH 16, 2023

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. In 2021, 13 AI-derived biologics reached the clinical stage, with their therapy areas including COVID-19, oncology, and neurology. AI drug discovery is exploding.

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DataRobot Blog

FEBRUARY 15, 2023

In this example, we take a deep dive into how real estate companies can effectively use AI to automate their investment strategies. Let’s take a look at an example use case, which showcases the effective use of AI to automate strategic decisions and explores the collaboration capabilities enabled by the DataRobot AI platform.

Data Scientist 52

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ODSC - Open Data Science

DECEMBER 19, 2023

billion in 2021 to $331.2 They need to be able to explain complex technical concepts to non-technical stakeholders and to identify and solve problems that arise during the development and implementation of AI models. A recent study by Gartner predicts that the global AI market will grow from $15.7 billion by 2026.

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Flipboard

MARCH 9, 2023

Image Credits: ChatX “I’ve been playing with AI text-to-image models since Disco Diffusion first appeared in September 2021,” Kostic told TechCrunch in an email interview. As for ChatX, it follows a more conventional model, selling curated collections of prompts, Salehi explained.

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Prompt Engineer Prompt Engineering AI AI 118

Flipboard

MARCH 7, 2023

When schools reopened in 2021, Burkiett and her team decided to roll out the program across the district for students in kindergarten to third grade. Farrow explains: With AI and machine learning technologies, often what will happen is that they will take a pre-existing dataset, and then try to build the product on top of that.

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John Snow Labs

MAY 15, 2023

Explainability and Interpretability: Models should be capable of answer stakeholder questions about the decision-making processes of AI systems. 2021 ] – sometimes changing the likely answer more than 80% of the time. 2021 ] is the mislabeling of training examples. Finally, [ van Aken et.

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AWS Machine Learning Blog

DECEMBER 7, 2023

Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section. Additionally, for insights on constructing automated workflows and crafting machine learning pipelines, you can explore AWS Step Functions for comprehensive guidance.

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Convolutional Neural Networks Algorithm Neural Network Machine Learning 93

AI Impacts

JULY 20, 2023

We explain why model evaluation is critical for addressing extreme risks. Survey on intermediate goals in AI governance (Rethink Priorities, Räuker and Aird, March) It seems that a key bottleneck for the field of longtermism-aligned AI governance is limited strategic clarity (see Muehlhauser, 2020 , 2021 ).

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AWS Machine Learning Blog

OCTOBER 10, 2023

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code.

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Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., Adversarial attacks pose a significant challenge to the reliability and robustness of automated image analysis methods, and have become a growing concern in recent years.

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AWS Machine Learning Blog

MAY 10, 2023

For example, using a large language model, Jupyter AI can help a programmer generate, debug, and explain their source code. Users can select a notebook and automate it as a job that runs in a production environment via a simple yet powerful user interface.

ML 84

ML Generative AI Data Scientist Data Science 84

Topbots

SEPTEMBER 11, 2023

For example, let’s say you are observing a competitor that is offering a service for fully automated generation of marketing content. As the new restriction is introduced, you are immune and can dash forward to capitalize on the regulation, while your competitors with fully automated solutions will need time to recover from the setback.

AI 59

AI AI UX Design Automation 59

Heartbeat

DECEMBER 8, 2023

years, a 0.16% increase from 2021. The life expectancy for France in 2021 was. Life expectancy at birth, total (years) - France | Data In 2021, the total life expectancy at birth in France remained nearly unchanged at around 82.32 The current life expectancy for France in 2023 is 83.13 years, a 0.16% increase from 2022.

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Heartbeat

MAY 23, 2023

Another area is exploring new techniques for optimizing edge computing infrastructure, such as using machine learning to predict resource demands and automate resource allocation. et all (2021) Deep Learning for the Industrial Internet of Things (IIoT) [3] Stephen J. et all (2020). An overview on edge computing research. [2]

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AWS Machine Learning Blog

FEBRUARY 10, 2023

There is a need for an automated coverage classification model that can scale effectively and efficiently to reduce cost and turnaround time. We describe how we designed an accurate, explainable ML model to make coverage classification from player tracking data, followed by our quantitative evaluation and model explanation results.

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Google Research AI blog

FEBRUARY 23, 2023

In 2021, we shared some of our early work using smartphone cameras to measure heart rate and to help identify skin conditions. the LLM would generate a response explaining that yes, stress can cause nosebleeds, and detail some possible mechanisms. hospitalizations) and towards distributed care (e.g.,

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DataRobot Blog

MARCH 31, 2022

And AI-powered human resources systems were not prepared for the great resignation of 2021. With DataRobot MLOps , you already have automated monitoring with a notification system. In the DataRobot Community , find videos and articles explaining Continuous AI in more detail to help you get started. None of us expected COVID-19.

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Heartbeat

AUGUST 2, 2023

These automated models produce instantaneous responses with minimal overhead of training time and data requirements. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Large Language Models Prompt Engineer Prompt Engineering OpenAI 52

Mlearning.ai

SEPTEMBER 4, 2023

trillion parameters and has not been retrained since September 2021.[13] Chris Albon explains that training is “like long-term memory.” does a poor job of explaining the data sources used to train the model (not to mention that even a fine-tuned version of GPT-3.5 GPT-4 has an estimated 1.7 link] [12] This applies to GPT-3.5

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