Artificial Intelligence and human analysis have been coming together in recent years. Whether using packaged BI and data preparation tools, or languages like Python and R, business analysts and data scientists and engineers alike have been exploring the use of machine learning algorithms to augment their data analyses. Read more in this e-guide.
In this week's Computer Weekly, we find out how one ambulance service is using business intelligence tools to join up datasets to improve its response to the Covid-19 pandemic. Our latest buyer's guide examines video conferencing and collaboration. And we look at the benefits of real-time streaming data analytics. Read the issue now.
Automation is becoming a bigger part of the world every day, and at this point your business should be asking itself: “Are we ready for this new era?” Read on to learn why prioritizing automation can keep you from becoming the next Blockbuster, and how you can put your enterprise at the forefront of innovation.
In this week's Computer Weekly, we talk to retailer Sainsbury's about its data science strategy and how it helps the firm better understand customers. We take a detailed look at the evolution of the business intelligence market. And we find out how simulated disaster management can tackle the security skills gap. Read the issue now.
In this e-guide we shine the light on a number of case studies taken from around the world of data analytics. We delve into a number of Silicon Valley-based startups that are looking to shake up the data analytics industry as well as glimpsing into the future of AI-based analytics, data visualisation tools and the Australian data analytics market.
As manufacturing continues to embrace advanced analytics, it has become easier than ever to generate data-driven insights. Yet visualizing or easily accessing these insights is often hard. Read this white paper to learn how Qlik’s embedded analytics platform can scale with your company and empowers with more efficient production.
Read The Data-Driven Enterprise to learn about the six practical steps your organization can take to become data-driven and how other organizations are using data to drive their business forward.