AWS Machine Learning Blog

DECEMBER 4, 2024

It also empowers data scientists and ML engineers to do more with their models by collaborating seamlessly with their colleagues in data and analytics teams. Comet has been trusted by enterprise customers and academic teams since 2017.

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Dataconomy

FEBRUARY 26, 2025

In 2017, Forrester Research introduced DPA, which simplified the automation landscape. The role of AI in DPA Artificial Intelligence (AI) significantly enhances DPA capabilities by enabling intelligent decision-making and advanced analytics. Implementation strategy for DPA Let’s discuss effective DPA strategies.

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phData

NOVEMBER 8, 2024

These systems are built on open standards and offer immense analytical and transactional processing flexibility. However, this feature becomes an absolute must-have if you are operating your analytics on top of your data lake or lakehouse. It provided ACID transactions and built-in support for real-time analytics.

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Flipboard

JUNE 11, 2025

I’m Sam Ransbotham, professor of analytics at Boston College. Together, MIT SMR and BCG have been researching and publishing on AI since 2017, interviewing hundreds of practitioners and surveying thousands of companies on what it takes to build and to deploy and scale AI capabilities, and really transform the way organizations operate.

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ODSC - Open Data Science

JULY 14, 2025

Amy Hodler, Executive Director of GraphGeeks.org Amy Hodler is an evangelist for graph analytics and responsible AI. She’s the co-author of O’Reilly books on Graph Algorithms and Knowledge Graphs as well as a contributor to the Routledge book, Massive Graph Analytics , and the Bloomsbury book, AI on Trial.

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ODSC - Open Data Science

JULY 3, 2025

Amy Hodler, Executive Director of GraphGeeks.org Amy Hodler is an evangelist for graph analytics and responsible AI. She’s the co-author of O’Reilly books on Graph Algorithms and Knowledge Graphs as well as a contributor to the Routledge book, Massive Graph Analytics , and the Bloomsbury book, AI on Trial.

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Dataconomy

MARCH 19, 2025

Data analytics TPUs play a vital role in data analytics by facilitating complex matrix operations that form the backbone of many analytical tools and methodologies. Additionally, TPUs are increasingly used in speech recognition tasks, enabling more efficient audio processing.

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Dataconomy

MARCH 20, 2025

It streamlines analytical tasks, allowing users to focus more on problem-solving rather than the underlying complexities of the framework. in early 2017. Its innovative data flow architecture enables users to execute complex statistical analyses and create sophisticated models efficiently.

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Hacker News

JULY 26, 2025

NAVeGIS Open Source navigation with up to date maps Recently I removed all Google Ads from this site due to their invasive tracking, as well as Google Analytics. B1 NAVMAN BIKE 1000 Response: IMAGE 2017-08-31 33.03.0807 11700606 [link] [link] APPLICATION 2018-02-02 5091 28599221 [link] 5.0.9.1 There were two requests that stood out.

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Dataconomy

FEBRUARY 17, 2025

Under the leadership of CEO Dara Khosrowshahi, who joined in 2017, Uber has streamlined operations and reported substantial growth. Utilizing its data analytics platform Lens, Tempus aims to generate AI-informed insights to accelerate treatment development. In 2024, the company generated $9.86 billion from $3.36 billion in 2023.

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ODSC - Open Data Science

MARCH 10, 2025

The Early Years: Laying the Foundations (20152017) In the early years, data science conferences predominantly focused on foundational topics like data analytics , visualization , and the rise of big data. By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow.

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Dataconomy

MARCH 24, 2025

Solana was launched in 2017 and is a favorite with developers and users. Using data-driven analytics The future of Solana is handling data at scale. Making sense of complex data Advanced analytics may be useful and necessary for you to make sense of all this data.

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Analytics Vidhya

JULY 23, 2020

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

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Dataconomy

FEBRUARY 6, 2017

Business Intelligence, previously known as data mining combined with analytical processing and reporting, is changing how organizations move forward. The post 6 Ways Business Intelligence is Going to Change in 2017 appeared first on Dataconomy.

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Dataconomy

DECEMBER 12, 2016

Big Data analytics and Business Intelligence are both fueling the growth of Enteprises all over the world, and also getting heavy investment within the Big Data market. The post A Big Market For Big Data – An Outlook on 2017 appeared first on Dataconomy.

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Dataconomy

DECEMBER 12, 2016

Big Data analytics and Business Intelligence are both fueling the growth of Enteprises all over the world, and also getting heavy investment within the Big Data market. The post A Big Market For Big Data – An Outlook on 2017 appeared first on Dataconomy.

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Analytics Vidhya

APRIL 16, 2024

Introduction Welcome into the world of Transformers, the deep learning model that has transformed Natural Language Processing (NLP) since its debut in 2017. These linguistic marvels, armed with self-attention mechanisms, revolutionize how machines understand language, from translating texts to analyzing sentiments.

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Dataconomy

FEBRUARY 1, 2017

The post 2017 – The Year Data Made Bank? Financial data finally starting to pay off If you are in Finance, you would have read at least one of the many predictions articles that poured from all directions on the internet in the past month. This is not trying to be yet another one but focus on the CX. appeared first on Dataconomy.

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Analytics Vidhya

AUGUST 17, 2022

A team at Google Brain developed Transformers in 2017, and they are now replacing RNN models like long short-term memory(LSTM) as the model of choice for NLP […]. The post Test your Data Science Skills on Transformers library appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 9, 2022

It has maintained its position at #1 since the year 2017. appeared first on Analytics Vidhya. The IEEE Spectrum has ranked Python #1 in their list of top programming languages, 2020. Interesting! Isn’t it? It definitely took some time for python […]. The post Exciting Things about Python that Every User Should Know!

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Analytics Vidhya

OCTOBER 1, 2022

Introduction In 2017, The Economist declared that “the world’s most valuable resource is no longer oil, but data.” The post Using KNIME for Data Driven Decision Making appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Yet, even for companies that do not […].

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Analytics Vidhya

JANUARY 4, 2024

Since the groundbreaking ‘Attention is all you need’ paper in 2017, the Transformer architecture, notably exemplified by ChatGPT, has become pivotal. This article explores […] The post Exploring the Use of LLMs and BERT for Language Tasks appeared first on Analytics Vidhya.

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Dataconomy

SEPTEMBER 4, 2023

Cloud analytics is one example of a new technology that has changed the game. Let’s delve into what cloud analytics is, how it differs from on-premises solutions, and, most importantly, the eight remarkable ways it can propel your business forward – while keeping a keen eye on the potential pitfalls. What is cloud analytics?

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Analytics Vidhya

AUGUST 29, 2023

Rewind to 2017, a pivotal moment marked by […] The post Beginners’ Guide to Finetuning Large Language Models (LLMs) appeared first on Analytics Vidhya. The seismic impact of finetuning large language models has utterly transformed NLP, revolutionizing our technological interactions.

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Dataconomy

DECEMBER 7, 2017

Undoubtedly, 2017 has been yet another hype year for machine learning (ML) and artificial intelligence (AI). As ML and AI become increasingly ubiquitous in many industries, so does the proof that advanced analytics significantly improve day-to-day operations and drive more revenue for businesses.

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Smart Data Collective

JULY 28, 2022

Fortunately, new predictive analytics algorithms can make this easier. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology. The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed.

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Smart Data Collective

DECEMBER 13, 2022

Big data analytics is finding applications in eLearning. In 2017, 77% of U.S. Leap forward since the adoption of big data analytics. Twinslash helps Edtech businesses build eLearning apps that leverage big data analytics. Big data analytics can also analyze what platforms people use the most to learn online.

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Smart Data Collective

SEPTEMBER 9, 2020

The number of companies utilizing data analytics has skyrocketed in recent years. In 2017, 53% of companies reported using data analytics as part of their strategy. Data analytics is one of the most useful tools your business can utilize in order to quantify real-world information about its performance and efficiency.

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Smart Data Collective

FEBRUARY 1, 2023

A 2017 study from Harvard Medical School discusses some of the changes big data has created for nurses. Analytic nursing is still a relatively obscure facet of the industry. Big data is especially important for the nursing sector. It’s a big deal. So, what’s out there?

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Dataconomy

NOVEMBER 21, 2018

We had established the model already, grounded in open data, but updated it to make predictions about 2017. Last year, we set up a prediction model on crime in London. We took the data provided by the police in the greater London area, and by enriching this data with Points. The post How Effective Is AI Crime Prediction?

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Dataconomy

OCTOBER 27, 2017

In a world of wide-ranging big data, analytics that have advanced so much that they can even help scouting for the NBA, and with several high-profile data breaches in the UK and the US making worldwide headlines in 2017, it is clearer than ever before that big businesses needs to embrace.

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Dataconomy

SEPTEMBER 24, 2019

Global e-commerce sales hit $29 trillion in 2017 according to data released by the United Nations Conference on Trade and Development (UNCTAD) early this. With ecommerce sales skyrocketing, the options for online transactions are manifold. But what are the problems that come with these many choices to pay?

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Flipboard

FEBRUARY 3, 2025

IntroductionI have been working as a Data Scientist since 2017, and during that time I have been promoted from a junior/mid-level to a senior, and

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Smart Data Collective

FEBRUARY 11, 2021

Data analytics is the linchpin of digital business strategies in the 21st Century. Sensible companies need to know how to properly utilize data analytics to take full advantage of all of their digital resources. The Intersection Between Data Analytics and Digital Asset Management.

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Tableau

MARCH 23, 2022

Many organizations are challenged with scaling analytics to reach every employee and/or realizing the full value of their analytics investments. Organizations are investing trillions to become more data-driven, but only 8% successfully scale analytics to get value from their data, according to McKinsey. .

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