Topmarq Inc announced the beta release of a novel car dealership analytics platform that leverages AI and data to improve consumers search for a new or used vehicle. The service gives potential buyers the ability to find dealers in their area using actionable insights like average vehicle prices, model specialities, and more. According to Autotrader, 78% of car shoppers use 3rd party sites to find their future vehicles. Despite this massive adoption rate, the typical consumer journey remains the same as it was a decade ago. Topmarq's new AI-based analytics platform is aimed at solving the workflow for consumers who fall through the cracks with current solutions.

The early 20th-century department store magnate, John Wanamaker, who famously said, "I know half the money I spend on advertising is wasted, but I can never find out which half," couldn't have imagined the analytical power of today's innovative artificial intelligence (AI) tools for marketers. Google Analytics is the single-most popular website analytics tool on the market–it is used by more than half of all websites. But if you are one of the millions of marketers who use Google Analytics, you know that although it provides a lot of data, it doesn't reveal any real insights. It will show you a lot of numbers related to your site traffic, but it doesn't tell you what the data means or what to do with all of that information. Social media platforms like LinkedIn, Twitter, and Facebook provide their own metrics regarding your account activity and engagement. Your CRM or marketing automation system supplies additional data.

An enterprise data strategy is a comprehensive vision for an organization's potential to harness data-dependent capabilities. Enterprises need to build a robust architecture seamlessly without hampering the current equilibrium of the business. The primary goal of the data platform is to enable analytics, helping organizations analyze their current state and make better decisions. Having a streamlined, documented workflow that walks through the entire process explaining the renewable layer for data integration and workflow, is crucial. The workflow to build an analytics platform should include how different data sources can be collected, managed, and incorporated into the analytics platform.

Last few years have been revolutionary for organisations who were reluctant to accept technology as the way of doing business. As technology solidified its position in any company's economic value generation, these organizations have realized that it's imperative for them to harness the potential of new-age technologies. For example, Machine Learning (ML) can be of significant value for business who learn the right way of approaching it. One can only imagine the type of assistance ML can provide if it is made accessible to anybody in the organization who needs to make decisions based on truths that are delivered by numbers. Businesses are gradually leveraging ML, and this is supported by an IDC study which predicts that by 2024, 40% of large enterprises will expand the use of AI/ML across all business-critical horizontal functions like marketing, legal, HR, procurement, and supply chain logistics.

Quanergy Systems, Inc., a leading provider of LiDAR sensors and smart 3D solutions, announced that Prime Secured will use Quanergy's products and software to provide its customers with greater physical security and flow management capabilities. "We've been very impressed with the performance of Quanergy's products and solutions – and the wide array of applications. With Quanergy's technology, we're able to provide our customers in the gaming space with an analytics platform that gives them deeper insight into activity at their facilities." As the company looks to expand into new industries such as gaming, Prime Secured has placed a multi-million dollar order with Quanergy that will begin with a deployment at a major casino. The gaming facility sought a fully automated, more efficient and more productive physical protection platform.

TigerGraph is the world's fastest graph analytics platform designed to unleash the power of interconnected data for deeper insights and better outcomes. We welcome people from all backgrounds who seek the opportunity to help build the next generation graph computing and analytics platform. Are you looking forward to the next generation of AI/ML technologies? Come and join us to push the boundary of ML with data science and cutting-edge graph techniques. TigerGraph's ML/AI department is looking for passionate ML engineers to develop models, systems, and solutions for machine learning with graph data, capitalizing on TigerGraph's massively scalable graph database.

Computer vision is an interdisciplinary field that deals with how computers can be made for gaining high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. Country: China Funding: $1.6B SenseTime develops face recognition technology that can be applied to payment and picture analysis, which could be used, for instance, on bank card verification and security systems. Country: China Funding: $607M Megvii develops Face Cognitive Services - a platform offering computer vision technologies that enable your applications to read and understand the world better. Face allows you to easily add leading, deep learning-based image analysis recognition technologies into your applications, with simple and powerful APIs and SDKs.

As CIOs and other executives look for ways to expand sustainability initiatives, there's a growing awareness that initiatives can't stop at the four walls of the data center or office building. Today's structures can contain hundreds of thousands of components that consume energy and add to an organization's carbon footprint. In fact, buildings consume one-third of all energy globally and produce one-quarter of all greenhouse gas emissions (GHGs), according to The World Resources Institute. What's more, business and IT leaders are often narrowly focused on improving sustainability in data centers and procuring greener computing systems. Yet they overlook critical ways that technology can shrink a carbon footprint. "There is a growing awareness that buildings and workspaces are a crucial part of sustainability initiatives," states Bryon Carlock, National Real Estate Practice Leader for consulting firm PwC.

Organizational intelligence (OI) is the capability of an organization to comprehend and create knowledge relevant to its purpose. In other words, it is the intellectual capacity of the entire organization. Lumenore is a powerful, intuitive, and cloud-based BI and analytics platform that delivers organizational intelligence by sifting data from any business application. Analytics Insight has engaged in an exclusive interview with Naren Vijay, EVP of Lumenore. Lumenore is a powerful, intuitive, and cloud-based BI and analytics platform that delivers organizational intelligence by sifting data from any business application.

The benefits of digital transformation derive from the combination of its two key building blocks, technology and people, though there's debate about which plays a more important role. Clearly, it's technological advances that make digital transformation possible – big leaps in cloud computing, data analytics, edge computing, and artificial intelligence. On the other hand, you'll often hear that "digital transformation is about people, not technology." However, at its most advanced, digital transformation is not precisely about people or technology, but about the relationship between people and technology. When these two powerful entities are merged with a digital transformation strategy, a business reaps major productivity benefits that neither element can deliver by itself.