The event will be held alongside the Lighting Fair and Thailand Building Fair under the “Smart City Safe City” concept.

Learn more at https://bit.ly/2Dif3kU.

These new data services and solutions further extend the NetApp Data Fabric across edge, core, and cloud and enable organizations to fully realize the promise of artificial intelligence,NetApp said in a press statement said.

Global business value derived from AI is projected to total $1.2 trillion in 2018, an increase of 70 percent from 2017, according to Gartner, Inc.1, and IDC predicts that nearly 75 percent of commercial enterprise applications will use AI by 20212. However, even though businesses plan to use AI to create new and innovative business opportunities fueled by diverse, distributed, and dynamic data, they often find that their most valuable data is trapped in siloes, hampered by complexity and too costly to harness for resource-intensive AI applications, the statement added.

“With the speed and volume of data now generated and managed across IoT devices and sensors, on-premises data centers, and in hybrid cloud environments, having a Data Fabric that spans edge, core, and cloud is essential to AI success,” said Joel Reich, EVP, Storage Systems & Software, NetApp. “With today’s new data services and solutions, integrated through the NetApp Data Fabric, organizations can accelerate data pipelines across an entire enterprise to train deep learning models and power AI applications with the simplicity, choice, and scale necessary to achieve real impact.

Modernize Storage to Enable Data Management for AI

NetApp ONTAP 9.5 software helps companies modernize their data services with solutions that deliver leading cloud integration, the highest all-flash performance, and greater efficiency and simplicity.

The statement said NetApp ONTAP 9.5 software has following features:

– Delivers unmatched versatility that offers high performance and consistent low latency, accelerating critical workloads with industry-leading end-to-end NVMe capabilities.

– Unifies data management across storage environments — flash, disk, and cloud.

– Automates tiering of petabyte-scale datasets to object stores in the cloud or on the premises.

– Reduces deployment costs for multisite business continuity solutions.

– Accelerates read performance with cached data sets within a cluster and at remote sites.

– Increases storage efficiency savings by up to 15% for relational database applications.

– Radically increases performance by auto-tiering data between AFF systems and NetApp MAX Data on servers.

MAX Data allows customers to turbo charge their application performance without rewrites to application code. MAX Data is the industry’s first solution to leverage persistent memory in servers to deliver memory-like ultra-low latency and flash-like capacity.

The statemetn said MAX Data has following features:

– Accelerates performance of application-level data, enabling faster processing of data for AI applications and real-time data analytics.

– Speeds application data recovery with data protection services for persistent memory in servers.

– Improves efficiency by using fewerservers to achieve similar or better performance.

– Leverages all the data management capabilities of NetApp ONTAP.

Flash Performance Guarantee:

NetApp offers the industry’s first latency guarantee that allows customers to consume AI applications with the confidence of predictable low latency. Unparalleled in the industry, the performance guarantee offers consistent latency of .5 ms or less and enables businesses to reduce cost and risk by deploying flash with confidence.

Build a Hybrid Cloud Architecture for IoT​

NetApp provides industry-leading data management capabilities and solution support to tap into growing data sources with virtuallyunlimited scalability and performance to feed, train, and operate data-hungry AI, machine learning, and deep learning applications.

The statement said NetApp StorageGRID SG6060 has following features:

– Flash-accelerated object storage addresses the needs of high-performance, high-concurrency workloads for IoT, big data analytics, and machine learning environments.

Combined with ONTAP FabricPool capabilities, customers now have best-in-class data management capabilities while harnessing the value of object storage economics.

According the the statement, NetApp Solution Support for FlexPod has following features:

– The single-point-of-contact support team has expertise across the key components of the entire solution —storage, storage network, compute, compute OS, LAN networking, and hypervisor.

– NetApp Solution Support also includes NetApp Converged System Advisor(CSA) software, which simplifies the customer’s operations and lifecycle management of FlexPod. The CSA superior monitoring and management with a single-pane view of the system’s health helps reduce time toresolution for support incidents.

Oracle’s strategy is to make emerging technologies pervasive throughout its cloud offerings. To help customers more easily take advantage of these technologies as part of their digital transformation, Oracle has embedded innovative technologies into its business applications and extended these new capabilities into the platform so customers can build upon them. Additionally, Oracle Cloud Infrastructure serves as the foundational enabler for Oracle’s AI and Autonomous capabilities, Oracle said in a press statement.

“The real opportunity with emerging technologies is enabling our customers to embrace innovation on a scale we’ve never seen before,” said Amit Zavery, executive vice president, Oracle Cloud Platform. “Oracle’s technologies provide the building blocks for customers to pioneer new innovations, create new opportunities, and drive amazing breakthroughs.”

Machine learning and advanced AI are woven into Oracle Cloud services. For example, Oracle CX applications include built-in AI tools that better predict account health, deliver next-best service actions, automate answers and provide more personalized services.Oracle also embeds machine learning into its security offerings in order to help detect security threats. Most importantly, Oracle also combines machine learning with decades of database optimization to deliver the world’s first and only self-driving database.

Continued emerging tech advancements across Oracle’s portfolio include:

– Digital Assistant for Personalized Interactions: The next evolution of Oracle’s chatbot functionality, Oracle Digital Assistant enables companies to build personalized digital assistants to help employees work smarter and more productively. With this technology, employees can leverage one comprehensive digital assistant that can be trained to support domain skills from multiple applications such as HR, ERP, CRM and CX. Leveraging AI, Oracle Digital Assistant understands context, derives intent, and identifies and learns user behaviors and patterns to automate routine tasks proactively, such as expense approvals and meeting reschedules, on behalf of the user.

– Blockchain for Supply Chain Applications: Recently launched, Oracle Blockchain has already seen global adoption spanning multiple industries. Now, Oracle is expanding its blockchain service offering to include new business applications built on its own blockchain developmentplatform to support new use cases, such as track and trace for supply chain and logistics. New Oracle Blockchain Applications enhance traceability and transparency throughout the supply chain and include Intelligent Track and Trace, Lot Lineage and Provenance, Intelligent Cold Chain, and Warranty and Usage Tracking.

– Automation for Security Services:Oracle offers new cloud security services that use machine learning and intelligent automation to help prevent, detect, and respond to security threats. The new cloud services include a Web Application Firewall (WAF) to help protect against attacks on web traffic; Distributed Denial-of-Service (DDoS) protection to stop outside parties from disrupting running applications; an integrated Cloud Access Security Broker (CASB)which monitors and enforces secure configurations; and a Key Management Service (KMS) that allows customers to control the encryption of their data.-

– Intelligent Apps with Built-in AI:To help enable faster and easier adoption, Oracle Cloud Applications weave AI features seamlessly into the existing tasks and processes to reduce the learning curve for end users. For example, the applications send users subtle cues – slide outs and alerts – to let them know about new AI features within the familiar user interface of the application. New interaction models, such as voice recognition and chat bots, are built into applications to create a more intuitive and personalized user experience.