In today’s fast-paced world of “now,” and the exponential growth of data and connected devices (IoT), organizations strive to get from data to advanced analytics to action with a latency of only sub-seconds. Those who successfully achieve this will gain strategic insights more quickly and accurately and make smarter, data-driven decisions. By leveraging insights in real-time the insight-driven organization can increase revenues, reduce costs, mitigate risks, and enable companies to outperform their competitors.
This week we hosted two networking events in London and Paris, where top industry leaders discussed market challenges, trends and future-thinking adoptable approaches for enterprises to innovate with confidence and become insight-driven. Here’s a quick recap of what they had to say.
Evgueny spoke about Increasing Performance and Lowering TCO for Big Data and ML Innovation with Intel technologies and discussed how Intel technologies accelerate access to data and maximize processing for extreme transactional processing and real-time advanced analytics applications. In his presentation, Evgueny said that market trends are creating an inflection point for Artificial Intelligence, as data keeps growing exponentially, creating a gap between performance and capacity. Intel’s 3D NAND and Intel® Optane™ SSDs technology solutions help fill the memory and storage gap, lowering costs and achieving high performance. Evgueny also discussed how GigaSpaces InsightEdge Platform together with Intel technology accelerates AI innovations.
Yuval discussed Powering IoT Integration Solutions: Turning Data from Sensors into Real-time Actionable Insights. In his presentation, he explained how to simplify and accelerate telemetry ingestion with Magic’s IoT integration solutions powered by GigaSpaces InsightEdge and gain full business value from IoT adoption. With so many disruptive technologies around us, such as IoT, Analytics and Machine Learning and Blockchain, it’s no wonder data is growing. According to Yuval, by 2020 there will be over 4 billion connected people, $4 trillion in revenue opportunity, over 25 million apps, and over 25 billion embedded intelligent systems – creating approximately 50 trillion GBs of data. According to Yuval, IoT offers huge potential for many industries including manufacturing, transportation, healthcare, security and more. Collecting, aggregating and analyzing this massive amount of data is imperative for enterprises looking to act on real-time insights.
Magic Software’s IoT solution together with InsightEdge can be leveraged for many IoT scenarios, such as predictive maintenance, anomaly detection and service optimization where telemetry is ingested, correlated and merged. The data is then transferred to Magic xpi as the orchestrator of the process for prediction and any additional required actions. The solution enables predicts equipment to ensure business continuity and optimized operations.
In his presentation, Claude discussed Increasing Performance and Lowering TCO for Big Data and ML Innovation with Intel Technologies. He presented the Intel technologies that fill a critical market gap by creating an intelligent insight platform that makes it easy to innovate on real-time advanced analytics applications with low risk and TCO. Claude stated analytics and AI will usher in a better world, comparing it to the agricultural, industrial and digital revolutions. According to him, AI innovation accelerates large-scale solution, such as curing diseases, preventing crime and unlocking dark data; Unleashing scientific discoveries; Extending human capabilities such as personalized learning and optimizing time; and finally, automate undesirable tasks such as driving and day to day chores. Claude talked about the infrastructure challenges AI and analytics innovations face, from performance, scalability, ease of use and optimized TCO, and how Intel’s holistic approach can help organizations overcome these challenges with solutions like the Intel® Xeon® Scalable Processors and Intel® Optane™ SSDs. Adoption of AI innovations like deep learning is growing rapidly across industries such as financial services, healthcare, transportation, and retail. With that in mind, Claude presented Intel’s BigDL integration with GigaSpaces’ InsightEdge for AI Deep Learning innovation. With this solution, organizations can simplify AI through an integration between GigaSpaces’ InsightEdge platform and Intel’s BigDL open source deep learning library for Apache Spark. The combined solution forms an enhanced insight platform based on Apache Spark; offering a distributed deep learning framework that empowers insight-driven organizations. The BigDL and AI portfolio provide an infrastructure-optimized solution for deep learning workloads leveraging Intel® Xeon® Scalable processors. Together the technologies fill a critical market gap by creating an intelligent insight platform that makes it easy to innovate on real-time advanced analytics applications with low risk and TCO.
In his presentation, Sebastien reviewed the major Big Data insights and trends that are currently emerging, as well as the motivations driving them. He discussed how, as the market is undergoing a shift of the trends around data, and Big Data is not enough anymore, getting real value from the data has become a major stake for a broad sector in the industry.
Niv discussed Achieving Actionable Data Insights for Enterprise Innovation with GigaSpaces InsightEdge Platform. In his presentation, Niv showcased how the InsightEdge Platform, an open-source in-memory insight platform unifying fast-data analytics, artificial intelligence, and transactional processing, helps organizations overcome the complex obstacles of big data and advanced analytics to deliver real-time business impact. Niv gave an overview of the GigaSpaces MemoryXtend architecture, built to increase grid volume with minimal performance impact at optimal TCO. “With GigaSpaces MemoryXtend, organizations can take control of their data with a flexible platform, to help you define the optimal way to process your data and run analytics and AI in real-time,” said Niv.