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. Other researchers around the world are also talking about the role of data analytics in this dynamic, growing field.

Analytics 97

Analytics Analytics Big Data Big Data 97

Smart Data Collective

JUNE 18, 2021

We have previously talked about the role of predictive analytics in helping solve crimes. However, big data has also led to some concerns with racial profiling and other biases. Fortunately, machine learning and predictive analytics technology can also help on the other side of the equation.

Predictive Analytics 93

Predictive Analytics Analytics Analytics Big Data 93

Smart Data Collective

JUNE 10, 2019

One of the attendees was a tax accountant, who said that big data is changing their field in surprising ways. Financial professionals need to understand the impact of big data and prepare accordingly. How is Big Data Going to Influence the Financial Industry. CFAs are also relying heavily on big data.

Big Data 87

Big Data Big Data Machine Learning Machine Learning 87

Dataconomy

JULY 4, 2017

They have been in the finals for three consecutive years, set the regular season wins record at 72 wins in the 2015-16 season, and came one game away from going undefeated through. The post Winning with Data Science, Golden State Warriors Style appeared first on Dataconomy.

Data Science 190

Data Science Big Data Big Data Analytics 190

Smart Data Collective

FEBRUARY 1, 2023

According to Bloomberg , the market for sports research and data analysis net worth is expected to be around $8.4 In this brief article, we explore the impact of data analytics on sports. Data in Individual Sports Data analytics are commonplace in individual sports such as roller skating and can be used in a variety of ways.

Analytics 115

Analytics Analytics Data Analysis Data Analysis 115

Smart Data Collective

APRIL 16, 2019

Predictive analytics is the foundation of modern marketing. Companies rely on predictive analytics to: Get a better understanding of customer behavior based on past data that has been collected. Use existing data sets to identify future trends that will influence the future of your business. Today, that figure has grown.

Predictive Analytics 87

Predictive Analytics Analytics Analytics Big Data 87

Smart Data Collective

FEBRUARY 18, 2020

Big data is invaluable for leveraging your brand assets. In 2020, the benefits of big data are more accessible than ever. With a few technical skills and a detailed understanding of big data, it is very easy to start your own business from home with the help of data platforms like KissMetrics or even SAS.

Big Data 111

Big Data Big Data Predictive Analytics Machine Learning 111

ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. This blog dives deep into these changes of trends in data science, spotlighting how conference topics mirror the broader evolution of datascience.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

Dataconomy

JULY 17, 2023

According to a recent report by IoT Analytics , the global number of IoT connections grew by 18% in 2022, reaching 14.3 Established in 2015, the company has garnered recognition in the industry through its impressive portfolio, showcasing the expertise of its software professionals across varied verticals. billion active IoT endpoints.

Internet of Things 171

Internet of Things Analytics Analytics Cloud Computing 171

Smart Data Collective

AUGUST 21, 2019

A 2015 paper by the World Economic Forum showed that big data might just be a fad. The article certainly raised a lot of controversy, considering the massive emphasis on the value of data technology. The article was not arguing that big data is going to go obsolete.

Data Science 87

Data Science Big Data Big Data Data Quality 87

Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.

Machine Learning 140

Machine Learning Machine Learning Predictive Analytics Algorithm 140

Smart Data Collective

JANUARY 11, 2021

We have talked about a number of changes that big data has created for the manufacturing sector. A number of manufacturers are relying more on analytics technology to streamline their operations. One of the biggest ways that big data and cloud technology help with manufacturing is by boosting productivity.

Cloud Computing 127

Cloud Computing Big Data Big Data Internet of Things 127

NYU Center for Data Science

AUGUST 17, 2023

A summer school named “Neural Data Science,” led by Pascal Wallisch , CDS Clinical Associate Professor of Data Science and Psychology, and Mark Reimers , an associate professor at Michigan State University, teaches that toolkit. In an interview, Wallisch laid out how the course bridges the gap between data science and neuroscience.

Data Science 98

Data Science Big Data Big Data Analytics 98

AWS Machine Learning Blog

OCTOBER 5, 2023

His research interest is in systems, high-performance computing, and big data analytics. Before joining AWS, he worked at Baidu Research as a distinguished scientist and the head of Baidu Big Data Laboratory. From 2015–2018, he worked as a program director at the US NSF in charge of its big data program.

AWS 132

AWS Machine Learning Machine Learning Deep Learning 132

AWS Machine Learning Blog

DECEMBER 4, 2023

Established in 2015, Getir has positioned itself as the trailblazer in the sphere of ultrafast grocery delivery. We capitalized on the powerful tools provided by AWS to tackle this challenge and effectively navigate the complex field of machine learning (ML) and predictive analytics.

AWS 129

AWS Predictive Analytics ML ML 129

Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Big Data 131

Big Data Big Data Analytics Analytics 131

AWS Machine Learning Blog

DECEMBER 7, 2023

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, and the United States. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. He then joined Getir in 2019 and currently works as Data Science & Analytics Manager.

AWS 134

AWS Algorithm Data Science Machine Learning 134

Flipboard

APRIL 29, 2023

” In 2015, Hood co-founded Arivale, a startup based on P4 medicine that took stock of the body’s systems at the genetic, molecular, and microbial level. Hood went on to garner the prestigious Albert Lasker Basic Medical Research Award and the National Medal of Science. But he is used to criticism.

AI 180

AI AI Big Data Big Data 180

AWS Machine Learning Blog

OCTOBER 23, 2024

Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning. He currently is working on Generative AI for data integration.

AI 93

AI AI Database AWS 93

Smart Data Collective

JUNE 26, 2019

When many business analysts talk about blind spots in data , dark data comes into the conversation. Dark data is also called “unclassified data,” and it’s information your business has but does not use for analytical purposes or any other reason related to running the business.

Machine Learning 111

Machine Learning Machine Learning Algorithm Analytics 111

AWS Machine Learning Blog

MAY 15, 2023

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, France, Spain, Italy, Portugal, and the United States. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. He then joined Getir in 2019 and currently works as Data Science & Analytics Manager.

Algorithm 98

Algorithm Data Scientist Machine Learning Machine Learning 98

Women in Big Data

MAY 21, 2024

We provided a quick overview of Women in Big Data (WiBD). Launched in 2015 and becoming a nonprofit organization in 2020, WiBD is a grassroots initiative dedicated to inspiring, connecting, and advancing women in data fields. We achieve this through training, mentoring, hackathons, and leadership programs.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Alation

FEBRUARY 20, 2020

With the year coming to a close, many look back at the headlines that made major waves in technology and big data – from Spark to Hadoop to trends in data science – the list could go on and on. The logical data warehouse will mean self-service analytics at a much faster pace.

Data Warehouse 52

Data Warehouse Hadoop Data Science Analytics 52

phData

SEPTEMBER 20, 2023

Most importantly, Snowpark helps developers leverage Snowflake’s computing power to ship their code to the data rather than exporting data to run in other environments where big data is a second-class citizen. phData has been working in data engineering since the inception of the company back in 2015.

SQL 98

SQL Python Data Lakes Machine Learning 98

Smart Data Collective

SEPTEMBER 22, 2021

We have talked in the past about using data analytics to choose the best cryptocurrencies to invest in. There hasn’t been any update or improvements made to Dogecoin since 2015 and because of that, there is a potential for a decline in it’s value. A potential decline.

Big Data 130

Big Data Big Data Analytics Analytics 130

PyImageSearch

JANUARY 30, 2023

Figure 4: Personalized Learning Pathways (source: Analytics Steps ). Figure 6: Changing demand for core work-related skills from 2015 to 2020 (source: IFC ). Assisting a cohort of students in developing a broad range of 21st-century skills requires collecting and analyzing vast amounts of data (sometimes called Big Data).

Deep Learning 109

Deep Learning Deep Learning AI AI 109

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

Machine Learning 52

Machine Learning Machine Learning Computer Science Computer Science 52

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

Machine Learning 52

Machine Learning Machine Learning Computer Science Computer Science 52

Pickl AI

FEBRUARY 14, 2023

Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai launched its meta framework on TensorFlow in 2015. Accordingly, products cater to real-time computation and control while storing big data and transmission. Artivatic.ai Artivatic.ai

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Smart Data Collective

MAY 19, 2021

Big data technology has become a major disrupting factor in the energy industry. Many energy conglomerates have started embracing data analytics to expand their markets, respond to new trends, streamline operations and bolster efficiency. The clean energy sector has not been untouched by the big data revolution.

Analytics 97

Analytics Analytics Big Data Big Data 97