Future Of Data Science And Machine Learning For Businesses Summit (2nd Edition)


Date - 27th March, 2024
Time - 9:00 AM GMT
Venue - London, UK

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About The Future of Data Science and Machine Learning for Businesses

The Future of Data Science and Machine Learning for Business is an enlightening event highlighting new areas of change in the world. From analyzing data extraction, and preparation, to visualization, and maintenance, we’ve covered everything. Data scientists use machine learning and algorithms to discover probable future events. Organizations analyze themselves in order to grow. Experts from international brands will share valuable insights to help improve digital experiences as your organization grows.

Contributing to the Future

As data on the Internet grows exponentially, contributions to data science and machine learning will grow similarly to corresponding future work. Detect bank fraud or automate tasks to improve processes, predict outcomes, and make decisions based on past experience. Machine learning combined with data science can also be used to create powerful algorithms that help analyze large amounts of data. For example, it can be used to predict the optimal time to increase or decrease website traffic based on previous data points.

Will Artificial Intelligence and Automation Replace Manpower?

To predict the future of artificial intelligence, we must understand the past. The early field of data science, analytics, or probability theory incorporated probability theory and analysis into programming. They gave way to visual pipeline tools like Microsoft BI, which reduced the need for programming experience, but required a good understanding of statistics to know what these packages were doing. The need for the skills to model such pipelines is unlikely to disappear completely, so even if the concept of a data scientist disappears, the need for analysts specializing in the field will continue.

Automated Orchestration Workflow

So how do you get algorithms to find useful patterns in data? The main difference between machine learning and conventional programmed algorithms is the ability to process data without explicit programming. This means that an engineer is not required to provide detailed instructions to the machine on how to handle each type of data record. Instead, the machine determines these rules on its own based on the input data. Regardless of the particular machine learning application, the general workflow remains the same and repeats as the results become stale or require more precision. This section focuses on introducing the core concepts that make up the machine learning process.

“In the next three years, the value of data will increase, making it even more valuable than it is today. The more efficiently you store your data, the more benefits your business will see.” ― Thomas Harrer

Event Speakers

Here are some of our speakers

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Why Attend

“Data are just summaries of thousands of stories—tell a few of those stories to help make the data meaningful.” – Dan Heath

Comprehensive Agenda

Innovative keynotes delivered by the industry's true heavyweights, covering practical challenges and subjects which are exclusively entailed in our agenda. Gain subject matter expertise, network, and collaborate to explore solutions that shed light on future business models impacting revenue inflows.

Boost your Business

Futurista Start-up Elevate is a dedicated platform for Startups and VCs. We offer industry-specific startups a showcasing opportunity, enabling them to connect with corresponding VCs and Mentors. A win-win dynamic is created to attain the desired exposure for startups who are looking forward to scaling up their businesses.

Intelligent Event Experience

A smart application will help you connect with key decision makers, share files, brainstorm ideas, and have a seamless networking experience. A comprehensive module covering the entire event, compiled for training purposes, to be made available post-conference, exclusively for the attendees.

Who Should Attend

CXO, VP, Director, Head, Manager & Specialist of :-

  • Data Science
  • NLP
  • Artificial Intelligence
  • Machine Learning Ops
  • Big Data
  • Technology
  • Data Analytics
  • AI & Engineering
  • Decision Intelligence
  • Data Innovation
  • Real-Time Decision Intelligence
  • Augmented Intelligence
  • Data Engineering
  • Business Intelligence Platforms
  • Data Visualization Engineering
  • Cloud & Data Analytics
  • Data Engineering & Governance

Topics We Cover

Human Language Technologies

Augmented Intelligence

Automatic Speech Recognition

Data Engineering

Decision Intelligence

Trusted NLP

Automated Machine

Cognitive Computing

Governance and Monitoring

Explainability and Transparency

Data Quality


Financial Services








Why Sponsor

Why Us

Futurista Startup Elevate

Event Venue

Event venue location info

Join us in London, UK on the 27th March, 2024