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AI Data Science

Smarter decisions are based on data, and with AI, you have unprecedented power to extract insights from complex datasets. Lenovo’s AI Data Science uses a variety of techniques, including statistical analysis and machine learning, to help you learn from data, make predictions, and automate decision-making processes.

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Work Smarter

Lenovo’s AI Data Science is perfect for improving your predictive analytics, natural language processing (NLP), computer vision, recommender systems, and autonomous systems.


Our Success Stories

How Data Science Empowers AI Systems to Do More

Enhancing Patient Care With AI-driven Insights

To reduce the manual workload on doctors and enhance medical evaluations with richer insights, AISHA developed an AI model capable of analyzing full-body MRI scans in 30 minutes, using AI in healthcare to enhance the patient experience.

Medical staff reviewing an MRI scan.
99%

Faster analysis compared to manual methods

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“The synergy between the Lenovo and NVIDIA hardware and software is what enables us to get the most out of the GPUs, while maintaining consistency and security.”

Dr. Juan Pablo Reyes Gonzalez

Head of AISHA

Analyzing Data at the Edge for Production Lines

Using Lenovo technologies and OEM solutions, powered by NVIDIA® T4 GPUs, VHIT analyzed video feeds of manufacturing equipment, acted on potential issues fast, and delivered high-quality products to automotive clients on time.

A VHIT employee using a tablet in the manufacturing facility.
10%+

Improvement in IT management efficiency

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“With our Lenovo edge solutions, we can analyze video footage right at the time and place that it’s created — allowing our employees to investigate possible manufacturing issues before they impact our production lines.”

Corrado La Forgia

CEO, VHIT

Powering Ambitious Research

UoN refreshed its HPC facility with Lenovo and NVIDIA accelerated computing technology to create a cluster that offers 4x more compute power than its predecessor, enabling users to perform more complex calculations at higher speeds.

A student using two computer screens to conduct scientific research.
4

Times more compute power

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“The Ada cluster has delivered a big uplift in the number of GPUs we have available for research, which has really propelled non-traditional disciplines to use the system.”

Professor Jonathan Hirst

Royal Academy of Engineering Chair in Emerging Technologies & Professor of Computational Chemistry, University of Nottingham

Leading an Economical AI Revolution

Focoos AI built a cutting-edge web-based platform for economical AI development, that provides its clients with faster processing, higher accuracy, and seamless deployment.

Computer code on a dark screen.
90%

Faster time to market for computer vision solutions

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“Our goal is to make our platform the gateway to democratizing access to computer vision solutions by making it easier for developers to incorporate these capabilities into their products — regardless of budget or hardware limitations.”

Antonio Tavera

CEO, Focoos AI

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Equip Your Business With Game-Changing Tech

Contact a Lenovo representative to empower your team with innovative AI products, services, and solutions.


Featured Products & Solutions

Stay a Step Ahead With AI-Powered Data Science

With smarter technology, you can create new solutions, uncover new opportunities, and stay ahead of the competition.


Resources

Learn how you can use AI data science agents to process complex datasets that accelerate scientific discovery.


Frequently Asked Questions

What is the role of data science in AI?

Data science powers AI by providing the methods and tools to analyze and learn from data. It enables AI systems to recognize patterns, make predictions, and continuously improve over time. Through processes like data cleansing, analysis, and model training, data science lays the groundwork for AI capabilities. Lenovo combines strong AI and data science capabilities through its high-performance ThinkStation workstations and AI solutions, delivering the computing power and tools necessary to transform raw data into accurate, reliable insights.

How does data science support predictive analytics in AI?

Data science supports predictive analytics and intelligence by identifying patterns in historical data to forecast future outcomes. It uses statistical models and machine learning to detect trends and predict behavior. For AI systems, this means anticipating user needs, detecting risks, or optimizing performance. Lenovo’s edge computing solutions and AI-optimized servers, equipped with NVIDIA GPUs, enable businesses to run these analytics efficiently at scale, allowing AI systems to anticipate user needs, detect risks, and optimize performance in real time.

What is natural language processing (NLP) in data science?

Natural language processing (NLP) is a field of AI that enables machines to understand and process human language. Data science plays a vital role in NLP by analyzing text data to extract meaning and context. Applications include chatbots, sentiment analysis, and language translation. Lenovo’s ThinkPad laptops and AI workstations provide reliable, powerful platforms for developing and deploying NLP models, making these AI applications accessible both at the edge and in cloud environments.

What are recommender systems and how do they work?

Recommender systems are AI tools that suggest products, services, or content based on user preferences. Data science drives these systems by analyzing user behavior, purchase history, and preferences. Lenovo’s ThinkSystem servers and AI solutions support scalable deployment of recommender algorithms, enabling businesses to deliver highly personalized experiences powered by Lenovo’s cutting-edge hardware and AI software.

What is the importance of data cleansing in AI?

Data cleansing is essential for AI because it ensures the quality and accuracy of the data used for training models. It involves removing errors, duplicates, and inconsistencies from datasets. Clean data leads to better model performance and more reliable predictions.

What is the role of data science in predictive maintenance?

Data science plays a crucial role in predictive maintenance by analyzing equipment data to predict failures before they occur. It uses machine learning models to identify patterns in sensor data, such as temperature, vibration, or pressure. 

How can AI improve data analysis and decision-making in businesses?

AI improves data analysis and decision-making in businesses by quickly processing large volumes of data, identifying patterns, and generating actionable insights. It enables predictive analytics to forecast trends, detect anomalies for risk management, and automate routine tasks to save time. These AI capabilities, combined with real-time dashboards and scenario modeling, help leaders make faster, more informed decisions that drive efficiency and growth. Lenovo’s AI Data Science workstations and integrated server solutions can support advanced AI workloads for strategic advantage.

What types of data are used in AI and data science?

AI and data science work with structured, unstructured, and semi-structured data. Structured data includes things like spreadsheets or databases. Unstructured data can be text, images, videos, or audio. Semi-structured data includes formats like JSON or XML, which contain some organizational elements. The type of data used depends on the AI task — text for NLP, images for computer vision, etc. Lenovo’s diverse AI hardware portfolio from ThinkPad laptops to edge solutions and high-performance servers supports processing all these data types efficiently.


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