Will Government Evolution Be Led By The Data Revolution?

What’s the most powerful tool government has to improve the lives of its citizens? Data, hands down. Data delivers an unprecedented opportunity to positively impact the citizen’s day-to-day life. Government has nearly infinite resources, and with the right analytics tools and platforms, it can use data to revolutionize citizen services and safety. Its uses can generally be broken out into two parts: Smart City & Citizen Smart Security Data doesn’t just make city services and management better… It also makes us safer. ISTOCK The smart city is a new phenomenon brought about by data; and data, with the requisite access and analysis, is the lifeblood of the smart city. Smart traffic uses beacons to pull in real-time data about traffic patterns, hazards, and volume, whether on the road or public transit. For example, smart traffic lights can limit or extend red and green light intervals on major roadways during peak commute hours versus nighttime, when traffic is lighter. This data helps the city respond in real-time to traffic jams, and […]

Casinos Bet The Future On Customer Experience And Up The Ante With Analytics

Ask your friends why they go to Vegas, and I’m sure you won’t get the same answer twice. Casually surveying a few colleagues and friends yielded “the food and nightlife,” “bachelor party weekend,” “catching the Jerry Seinfeld show,” “Calvin Harris is DJing,” “CES conference,” and…“rock climbing.” (It’s actually an easy day trip to Red Rock Canyon, Valley of Fire, Zion–but I digress.) What could these wide-ranging answers possibly have in common? Answer: they’re not gambling. Since the Great Recession, Las Vegas has come to Jesus. Not literally. But they’ve come to accept the truth in numbers: in the ’90s and ’00s, over half of Las Vegas Strip revenues came from gambling. But in recent years, gaming revenue mix has steadily declined. In 2017, only 33% of Las Vegas Strip revenue came from gaming, while the other 67% came from growth in food and beverage, hotel, entertainment, and nightlife. Entertainment, celebrity restaurants, nightclubs, luxury accommodations, and other experiences are shifting the revenue mix away from gambling, and it is […]

How Kinetica Can Be Used to Thwart Cyber Attacks Around the World

When leading cybersecurity expert Neil Rerup commented, “True cybersecurity is preparing for what’s next, not what was last,” he hit the nail on the head. In the past, the security tools that organizations relied on were really more reactive than proactive, and they lacked the bandwidth needed to deal with massive amounts of data in real time. Fast forward to today’s Extreme Data Economy, where companies must handle massive sets of complex and unpredictable data at unparalleled speed, requiring streaming data analysis, visual foresight, and streamlined machine learning capabilities just to maintain business in motion. Combine this challenging environment with increasingly sophisticated cybersecurity threats, and the stakes have never been higher. By December 20, the Identity Theft Resources Center (ITRC) had recorded 1,293 U.S. data breaches in 2017, exposing more than 174 million confidential records. In fact, cyber attacks are the fastest growing crime in the U.S., and they are increasing in size, sophistication, and cost. Challenges to Cybersecurity In this new Extreme Data Economy era, it’s clear […]

12 Features to Look for When Choosing a GPU-Accelerated Analytics Database

GPU acceleration is revolutionizing high-performance computing. Leveraging GPUs for processing-intensive workloads is on the rise, particularly among verticals such as finance, retail, logistics, health/pharma, and government. GPU-acceleration is opening new possibilities for machine learning, deep learning, data visualization, or simply performing faster queries, joins and row-by-row math. If you’re investigating whether a GPU database can meet your needs, you’ll need to make sure it has the features and functionality to meet the full solution. There are several companies that offer GPU-accelerated databases, and it can be challenging to fully understand how they are different and which one is the right fit for your organization’s needs. To help you in your decision-making process, here’s a checklist to help you evaluate GPU-accelerated relational databases, along with information on how Kinetica fits into the picture. Product Maturity and Enterprise Readiness One of the most important aspects of choosing a GPU database is product maturity. While there are a variety of GPU compatible databases that can provide first-hand exposure to the benefits […]

Embracing Real-time Streaming Data

The data connectivity world is changing rapidly, with a firehose of data streaming in from devices, people, and channels. How can organizations act on all of that data? We created Kinetica for those competitive organizations who need to leverage big, fast, data in order to remain leaders in their industry. How did Kinetica come about in the first place? Let’s take a few steps back so I can explain what’s happened to data management infrastructures over the last several years. In the past, organizations have struggled to benefit from the influx of live data such as IoT, as their legacy systems were only designed to periodically load data from transactional systems (OLTPs). They were hitting the performance and scale limits of today’s in-memory and traditional databases; they simply couldn’t ingest and query multiple real-time data sources. We created Kinetica, a GPU-accelerated database that simultaneously ingests, explores, analyzes, and visualizes streaming data, to solve the real-time data problem. I started Kinetica (formerly GPUdb), along with CTO and co-founder Nima […]