IBM Journey to AI blog

JUNE 29, 2023

Integrate data and systems Establish a robust system that integrates data from various sources and systems, such as enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, and supply chain management systems.

Analytics 94

Analytics Analytics Business Intelligence Business Intelligence 94

How to Learn Machine Learning

JUNE 21, 2024

Predictive analytics This uses data analysis to foresee potential defects and system failures. It examines trends and patterns in historical testing data. AI models can identify correlations and predict future outcomes with a high degree of accuracy.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 3, 2024

Computational Resources Training deep neural networks can be computationally intensive and time-consuming, requiring significant hardware resources. Solution: Leveraging cloud computing and GPU acceleration can help expedite the training process. This process typically involves backpropagation and optimisation techniques.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

Pickl AI

OCTOBER 3, 2024

They can automate various aspects of the research process, including: Data Collection AI tools can gather data from multiple sources such as academic journals, databases, and online repositories. This automation reduces the time researchers spend on manual data collection. What type of data do you work with?

AI 52

AI AI Natural Language Processing Machine Learning 52

Pickl AI

OCTOBER 3, 2024

The process typically involves several key steps: Model Selection: Users choose from a library of pre-trained models tailored for specific applications such as Natural Language Processing (NLP), image recognition, or predictive analytics. Computer Vision : Models for image recognition, object detection, and video analytics.

Machine Learning 52

Machine Learning Machine Learning AI Natural Language Processing 52

IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

DECEMBER 10, 2024

Key Takeaways Exalytics, Exalogic, and Exadata provide optimised analytics, middleware, and database solutions. Exalytics delivers lightning-fast data analysis and visualisation capabilities. Exalogic ensures seamless application performance and private cloud implementation.

Database 52

Database Analytics Analytics Business Intelligence 52

Pickl AI

SEPTEMBER 11, 2024

Employers often look for candidates with a deep understanding of Data Science principles and hands-on experience with advanced tools and techniques. With a master’s degree, you are committed to mastering Data Analysis, Machine Learning, and Big Data complexities.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

phData

JULY 25, 2023

Understand the pain points and create a business strategy that helps reduce the time to convert your regular users to premium customers and increase your revenue Take Better Decision-based Data It is essential to have backing for your decisions. Data analysis of existing users can help you plan better for gaining future customers.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

phData

JULY 25, 2023

Understand the pain points and create a business strategy that helps reduce the time to convert your regular users to premium customers and increase your revenue Take Better Decision-based Data It is essential to have backing for your decisions. Data analysis of existing users can help you plan better for gaining future customers.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. However, SaaS architectures can easily overwhelm DevOps teams with data aggregation, sorting and analysis tasks. Predictive analytics.

Analytics 94

Analytics Analytics AI ML 94

Pickl AI

DECEMBER 4, 2024

Currently, organisations across sectors are leveraging Data Science to improve customer experiences, streamline operations, and drive strategic initiatives. A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52