38 years of Pulsus

Data Science and Machine Learning Conferences

Spearheading the Transformation of Medical Research into Knowledge through Scientific Gatherings and Networking

1000+ collaborations across USA, Europe and Asia Pacific

About Data Science and Machine Learning Conferences

Data Science ConferenceData Science Conferences | Machine Learning ConferenceMachine Learning Conferences | Artificial Intelligence Conference | Deep Learning Conference | Data Structure Conference | Data mining Conference | Artificial Neural Network Conference | Mathematics Conference | Algorithms Conference | Bioinformatics Conference | Statistics ConferenceData Science Events | Machine Learning Meetings

Data Science is extremely important in today's environment. Every year, we generate twice as much data. Around 2.5 quintillion bytes of data are produced in a day. Data is any type of information that can be textual, numerical, audio, or video. Machine learning algorithms, statistical methodologies, and mathematical analysis are used to extract knowledge from data in data science, which is a highly interdisciplinary subject. Furthermore, this field investigates how to deal with data, including how to frame research questions, acquire data, pre-process it for analysis, store it, analyse it, and display the findings in reports and visualisations.

Machine learning is an area of computer science that looks at how to get computers to solve problems without having to be explicitly programmed to do so. This field comprises a wide range of techniques which includes Artificial Intelligence that are typically classified as supervised, unsupervised, or reinforcement learning. Learning takes place when algorithms are applied to data. Each of these machine learning organisations use a distinct algorithm. Algorithms are instructions for performing a procedure in machine learning. They run on data in order to recognise patterns and learn from it.

During the projection period, the Data Science Platform market is expected to increase at a CAGR of 27.7%, from USD 95.3 billion in 2021 to USD 322.9 billion in 2026. The Data Science Platform market is fueled by the explosive growth of big data, as well as the increasing adoption of cloud-based solutions and IOT, the growing use of data science platforms across industries, and the growing need to extract in-depth insights from large amounts of data to gain a competitive advantage.


Data Science Conference | Data Science Conferences | Machine Learning Conference | Machine Learning Conferences | Artificial Intelligence Conference | Deep Learning Conference | Data Structure Conference | Data mining Conference | Artificial Neural Network Conference | Mathematics Conference | Algorithms Conference | Bioinformatics Conference | Statistics Conference | Data Science Conferences | Data Science Events | Machine learning Meetings

Data is extremely important in today's environment. Every year, we generate twice as much data. Around 2.5 quintillion bytes of data are produced in a day. This field investigates how to deal with data, including how to frame research questions, acquire data, pre-process it for analysis, store it, analyse it, and display the findings in reports and visualisations.

Artificial intelligence and data science models come to the rescue. However, data storage remains a challenge. Around 45 percent of businesses have shifted their big data to cloud platforms, according to research. For data storage, processing, and delivery, businesses are increasingly turning to cloud services. The usage of public and private cloud services for big data and data analytics will be one of the major data management trends in 2022. Augmented Analysis is a data analytics approach that automates the analysis of large amounts of data by combining AI, Machine learning, and natural language processing. The Internet of Things (IoT) is a network of physical objects that are connected by software, sensors, and cutting-edge technology. This enables various devices on the network to communicate with one another and exchange data through the internet. By combining the Internet of Things with Machine learning and data analytics, you may boost the system's flexibility while also improving the accuracy of the Machine learning algorithm's responses. Quantum computing is one of the most popular research subjects in data science. Google is already working on a system that does not rely on binary numbers 0 and 1 to make judgments. Quantum bits in a processor called Sycamore are used to make the judgments. According to reports, this processor can solve a problem in under 200 seconds.

Some of the top Data Science and Machine learning Industries are Numerator, Cloudera, Splunk, SPINS, Alteryx, Civis Analytics, Sisense, Oracle, Looker, Teradata, Accenture. The best universities include Massachusetts Institute of Technology, Imperial College London, The University of Texas at Austin, ESSEC – CentraleSupelec, University of Melbourne, University of Warwick, IE Spain, University of Southern California (USC), University College Dublin and University of Edinburgh. The top Data Science Associations around the world are Association of Data Scientists (ADaSci), Data Science Africa (DSA), The American Statistical Association (ASA), The Data Science Council Of America (DASCA) and The Institute for Operations Research and the Management Sciences (INFORMS).

Application Insights

In 2019, the marketing and sales segment accounted for more than 33% of total revenue. The market is divided into marketing and sales, logistics, finance and accounting, customer support, and others based on application. The marketing and sales segment has the highest revenue share due to the multiple benefits provided, such as employing data science to gain deeper insights into the buyer's persona and spend marketing budget accordingly, resulting in a higher Return on Investment (ROI). Aside from that, considerations like lower financial risk from exact spending calculations, more predictable income creation, and improved customer experience all contribute to the platform's acceptance in the segment.

Component Insights

In 2019, the platforms segment accounted for approximately 84 percent of total revenue. This is due to the growing adoption of data analytics in large and medium businesses. The market is divided into platforms and services based on their components. Companies are concentrating their efforts on implementing products that provide uniformity and reproducibility. This can be accomplished through the use of data science platforms.

Vertical Insights

In 2019, the BFSI segment had the highest revenue share of almost 19 percent. IT and telecommunications, healthcare, BFSI, manufacturing, retail and e-commerce, energy and utilities, government, and others are the verticals that the market is divided into. During the projection period, the healthcare category is expected to rise. Medical imaging is one of the platform's most well-known uses. The segment's increasing adoption of technology is fueled by a strong focus on improving healthcare delivery.

Future of Data Science

Data Science Conference | Data Science Conferences | Machine Learning Conference | Machine Learning Conferences | Artificial Intelligence Conference | Deep Learning Conference | Data Structure Conference | Data mining Conference | Artificial Neural Network Conference | Mathematics Conference | Algorithms Conference | Bioinformatics Conference | Statistics Conference | Data Science Conferences | Data Science Events | Machine learning Meetings

As is the case in other fields, the importance of data science is rapidly growing. A wide number of fields have been influenced by data science. Retail, healthcare, and education are just a few of the sectors affected. New treatments and techniques are constantly being developed in the healthcare business, and better patient care is in high demand. In the healthcare industry, data science techniques can be employed to develop a solution that will help them care for their patients better. One of the burgeoning fields is data science.

Metrics:

Pulsus Group is one of the world’s remarkable Scientific Conference Organizers who have their individuality on all the spectrums of Science, Technology and Business.  A part of every conference series’ success specifically hangs on to how far it reaches the online community. Having an online audience is critical to make an international gathering a great success; be it research or academic or industrial.

Data Scientists, Academicians, Research institutes on data, Software designing institutes and data science students are the primary participants who attends the Pulsus conferences on Data Sciences as represented in the below quoted metrics. Conferences based on big data, data analytics, Data mining, Artificial Intelligence, Machine Learning and other data science related tracks shows a significantly large number of unique visitors and page views which were proved to be a thriving success.

Pulsus further extends its frontier through maintaining its every conference proceeding in its respective conference webpages and its official social media accounts. Thus, aspiring to have the participation of the international scientific and industrial communities to come and experience the pack of talks, discussions, product exhibitions and alliances. 

Data Science and Machine Learning Conferences
Pulsus Conferences

Data Science and Machine Learning Conferences                                                                                                                                                                                                                                     Pulsus Conferences

Worldwide Pulsus Data Science and Machine Learning Events

Other Events