Cloud computing (CC) is a centralized computing paradigm that accumulates resources centrally and provides these resources to users through Internet. Although CC holds a large number of resources, it may not be acceptable by real-time mobile applications, as it is usually far away from users geographically. On the other hand, edge computing (EC), which distributes resources to the network edge, enjoys increasing popularity in the applications with low-latency and high-reliability requirements. EC provides resources in a decentralized manner, which can respond to users' requirements faster than the normal CC, but with limited computing capacities. As both CC and EC are resource-sensitive, several big issues arise, such as how to conduct job scheduling, resource allocation, and task offloading, which significantly influence the performance of the whole system. To tackle these issues, many optimization problems have been formulated. These optimization problems usually have complex properties, such as non-convexity and NP-hardness, which may not be addressed by the traditional convex optimization-based solutions. Computational intelligence (CI), consisting of a set of nature-inspired computational approaches, recently exhibits great potential in addressing these optimization problems in CC and EC. This paper provides an overview of research problems in CC and EC and recent progresses in addressing them with the help of CI techniques. Informative discussions and future research trends are also presented, with the aim of offering insights to the readers and motivating new research directions.

The almost overnight shift of resources toward remote work has introduced the need for far more flexible, dynamic and seamless end-to-end applications, putting us on a path that requires autonomous capabilities using AIOps – Artificial Intelligence for IT Operations. It’s the topic that the SNIA Cloud Storage Technologies Initiative is going to cover on August 25, 2020 at our live webcast, “IT Modernization with AIOps: The Journey.” Our AI expert, Parviz Peiravi, will provide an overview of concepts and strategies to accelerate the digitalization of critical enterprise IT resources, and help architects rethink what applications and underlying infrastructure are needed to support an agile, seamless data centric environment. This session will specifically address migration from monolithic to microservices, transition to Cloud Native services, and the platform requirements to help accelerate AIOps application delivery within our dynamic hybrid and multi-cloud world.     Join this webcast to learn:  • Use cases and design patterns: Data Fabrics, Cloud Native and the move from Request Driven to Event Driven  •    Foundational technologies supporting observability: how to build a more consistent scalable framework for governance and orchestration  •    The nature of an AI data centric enterprise: data sourcing, ingestion, processing, and distribution  This webcast will be live, so please bring your questions. We hope to see you on August 25th. Register today.

As if there weren't enough security challenges, a forecast for the coming year warns the brave new world of AI and machine learning brings with it a whole new set of threats as microservices, the Internet of Things and multi-cloud deployments expand attack surfaces for hackers constantly probing for weaknesses. Market analyst Gartner's list of key technology trends for 2020 includes a compelling list of emerging trends, ranging from "hyper-automation" to the "democratization of expertise." Still, these emerging capabilities come with a price: As AI and machine learning add another layer of technological complexity, "Security generalists cannot address the wide spectrum of risks efficiently in the current risk landscape," Gartner has warned. The connection of platforms, edge devices and users expecting instant access to data--structured and unstructured--has raised the stakes for security as AI and machine learning enter the enterprise mainstream. "Security and risk leaders should focus on three key areas -- protecting AI-powered systems, leveraging AI to enhance security defense and anticipating nefarious use of AI by attackers," the market analyst warned in its rankings of AI-centric emerging technologies.

Looking back, we can see the value these emerging innovations offered, but in the moment, their promise seemed less clear. It is, therefore, remarkable how quickly organizations across sectors and regions navigated through the so what and into the now what for these trends and went on to successfully traverse the new digital landscape. This journey from uncertainty to digital transformation informs our latest offering, Tech Trends 2019: Beyond the digital frontier. A persistent theme of every Tech Trends report has been the increasing, often mind-bending velocity of change. A decade ago many companies could achieve competitive advantage by embracing innovations and trends that were already underway. Today, this kind of reactive approach is no longer enough. To stay ahead of the game, companies must work methodically to sense new innovations and possibilities, make sense of their ambitions for tomorrow, and find the confidence to boldly go beyond the digital frontier. So here's to the next decade of opportunity, whatever it may be. Along the way, embrace that queasy feeling of uncertainty.

Sessions are subject to change. Day & Time: Wednesday, 11:00 AM – 11:45 AM, Grand Oaks A&B Presenter: Jim Breen, Doug Foster Need to get your team trained on InterSystems products quickly? Attend this session to learn how you can get your employees up to speed and add value to your company – fast! Hear how other InterSystems' clients have created successful teams using Learning Services content as one piece of the puzzle, and how you can too! Takeaway: InterSystems Learning Services can help me quickly onboard new employees and grow the skill sets of existing employees. Day & Time: Monday, 2:00 PM – 2:45 PM, Grand Oaks E&F Tuesday, 2:00 PM – 2:45 PM, Grand Oaks C&D Presenter: Andreas Dieckow This session provides an overview of what it takes to move an existing Caché or Ensemble application to InterSystems IRIS Data Platform. You will learn that migration is not urgent (unless you want to take advantage of new features in InterSystems IRIS) but that it is often less complex than you might expect.

Prior to working at H2O, he worked as a Quality Assurance Software Engineer, developing software automation testing. Nicholas holds a degree in Mechanical Engineering, and has experience working with customers across multiple industries, identifying common problems, and designing robust, automated solutions.

In this special guest feature, Geoff Tudor, VP and GM of Cloud Data Services at Panzura, believes AI poses both opportunities and risks in the automation of the datacenter. This article provides an overview regarding the impact of AI in the datacenter, and how companies can prepare their storage infrastructure for these technologies. Geoff has over 22 years experience in storage, broadband, and networking. As Chief Cloud Strategist at Hewlett Packard Enterprise, Geoff led CxO engagements for Fortune 100 private cloud opportunities resulting in 10X growth to over $1B in revenues while positioning HPE as the #1 private cloud infrastructure supplier globally. Geoff holds an MBA from The University of Texas at Austin, a BA from Tulane University, and is a patent-holder in satellite communications.

IoT (Internet of Things), the convergence of IT and OT, rapid application development, digital twin simulation models, cyber-physical systems, advanced robots and cobots, additive manufacturing, autonomous production, consistent engineering across the entire value chain, thorough data collection and provisioning, horizontal and vertical integration, the cloud, big data analytics, virtual/augmented reality and edge computing amidst a shift of intelligence towards the edge (artificial intelligence indeed): these are some of the essential technological components of the fourth industrial revolution. Those are quite a lot of terms and components indeed. Yet, Industry 4.0 is a rather vast vision and, increasingly, vast reality that also stretches beyond merely these technological aspects. It is an end-to-end industrial transformation. What makes it all the more fascinating (and at first sight complex) is that convergence of two worlds which have been disconnected thus far: Information ...

In his session at @ThingsExpo, Eric Lachapelle, CEO of the Professional Evaluation and Certification Board (PECB), will provide an overview of various initiatives to certifiy the security of connected devices and future trends in ensuring public trust of IoT. Speaker Bio Eric Lachapelle is the Chief Executive Officer of the Professional Evaluation and Certification Board (PECB), an international certification body. His role is to help companies and individuals to achieve professional, accredited and worldwide recognized certification against various international standards. He also has extensive experience as a trainer and an educator in the fields of Information Security, Risk Management and IT. Throughout his career, he has worked in North America, Latin America and Asia with individuals and various companies of all sizes.