This is 4R's sixth consecutive year participating in the show and will present its latest Merchant Analytics approach. NextPoint provides an exclusive annual event which offers retailers and solution providers an experience uncommon from other industry events and trade shows. Mark Garland, Executive Vice President Sales, Marketing & Solutions, said, "It is hard to believe this will be our sixth year presenting at NextPoint. The last five years at NextPoint have provided excellent networking opportunities. We are looking forward to sharing how 4R positions retailers to earn more profit from their inventory with proven success stories."
While buzzwords such as predictive maintenance, artificial intelligence, digital twin and augmented reality have promised to enable the fabled digital transformation of manufacturing, when it comes to Industry 4.0, most practical applications start and end with machine connectivity. And when it comes to driving value, look no further than answering these questions; "What's happening?" Simply put, most manufacturers are unable to see what's actually happening on the shop floor in real time because their machines are not connected to any sort of data collection or data visualization system. This inability to both see and use data to drive continuous improvement leads to massive inefficiencies that affect every component of a company's operations, from the shop floor all the way to the C-Suite. That said, as the excitement around the opportunity presented by AI continues to grow, we conducted an interview with our very own Lou Zhang, Chief Data Scientist at MachineMetrics, so he could give us his perspective on where AI lands within the Analytics Journey and its relationship to technologies such as machine monitoring and data collection.
Trust me, I have no intention of trusting autonomous vehicle braking. One of the terms we see pop up in almost every technical vector is autonomous vehicles. As with 5G, the autonomous vehicle landscape is fraught with hype. That has even spilled over to the consumer marketing arena with tons of ads for automobiles showing hands-off braking, lane navigation, self-parking, and more. Depending upon with whom one speaks, autonomous vehicles are anywhere from level 3 to level 5. Of course, the only one who believes we are at level 5 is Elon Musk, with his claims for Teslas.
A big challenge in collecting and analyzing intelligence has always been scalability. Good, actionable intelligence takes expertise to develop. Let's say you're a government trying to gather information on a foreign power. You'll need experts who speak the language, know the culture well enough to blend in, have the right skill sets, and are sympathetic to your goals. Finding enough experts who meet those criteria will be difficult -- and even then, it still might not be enough to get regular, actionable intelligence.
Have you ever been running late for work, your hand extended into your shower, cursing its name as the water slowly warms to a temperature that would allow you to enter? Well, you may be being unsympathetic to your hot water heater, because it's likely running all day and all night to keep between 40-80 gallons of water heated, so it can be ready at your command. As you ponder the inefficiency of such a system, imagine the hot water needs of a hotel or a high-rise apartment building, with hundreds of rooms and thousands of inhabitants. The founder in this week's Silicon Valley Insider, Sridhar Deivasigamani, estimates that at any point in time in the US, there could be as much as 6 billion gallons of water being kept hot for our consumption, one-sixth the size of Lake Tahoe. Intellihot, the Galesburg, IL company founded in 2009, designs and manufactures tankless water heaters, as well as monitoring devices and apps, for residential, commercial and industrial applications.
What does it mean for a robot to be self-aware? That's exactly what this robotics lab is investigating as they embark on a quest towards artificial consciousness. We develop machines that can design and make other machines - automatically." The Challenge of Determining Whether an A.I. Is Sentient https://slate.com/technology/2016/04/... "It is not easy to determine when an organism is sentient, however. A brief recount of past and present controversies and mistakes makes it clear that human beings are not great at recognizing sentience."
The term industry 4.0 is the new buzzword. Conferences, articles and reports dedicated to the subject seem to indicate it. But … What is industry 4.0? And most importantly, what is behind this concept? According to AppStudio, the Fourth Industrial Revolution, also recognized as Industry 4.0, is altering the manner companies' function and thus the contexts they are compelled to compete in.
Google's latest smartphone demonstrates how artificial intelligence and software can enhance a camera's capabilities, one of the most important selling points of any mobile device. The Pixel 4, the latest entrant in a phone line defined by its cameras, touts an upgraded ability to zoom in when shooting photos as its biggest upgrade. But the Alphabet Inc. company isn't going about it the way that Samsung Electronics Co., Huawei Technologies Co. or Apple Inc. have done -- instead of adding multiple cameras with complicated optics, Google has opted for a single extra lens that relies on AI and processing to fill in the quality gap. In place of the usual spec barrage, Google prefers to talk about a "software-defined camera," Isaac Reynolds, product manager on the company's Pixel team, said in an interview. The device should be judged by the end-product, he argued, which Google claims is a 3x digital zoom that matches the quality of optical zoom from multi-lens arrays.
We live in a connected world and generate a vast amount of connected data. Social networks, financial transaction systems, biological networks, transportation systems and a telecommunication nexus are all examples. The paper citation network displayed in Figure 1 is another example of connected data. Representing connected data is possible using a graph data structure regularly used in Computer Science. In this article, we will provide an introduction to the assorted types of connected data, what they represent, and the challenges we can solve.
This headline may seem a bit odd to you. Since data science has a huge impact on today's businesses, the demand for DS experts is growing. At the moment I'm writing this, there are 144,527 data science jobs on LinkedIn alone. But still, it's important to keep your finger on the pulse of the industry to be aware of the fastest and most efficient data science solutions. To help you out, our data-obsessed CV Compiler team analyzed some vacancies and defined the data science employment trends of 2019.