Charlotte is a Senior Analyst for Application Platforms at Current Analysis. She covers the technologies that provide the infrastructure necessary to build and run enterprise applications and services. She analyzes the software, services and professional services necessary to integrate disparate systems, create cross-business and cross-technology communications, deliver rich, collaborative applications, and build software that is transparent, optimized and reusable.
? AIOps replaces observability as this year’s hot new buzzword among IT ops teams.
? A new breed of AIOps platforms will hit the market in the next six to 12 months.
New comprehensive app platforms will gain significant importance, designed to be used in scaled-out and computationally complex Kubernetes environments. Advanced analytics of data will address IT operations issues including performance monitoring, troubleshooting unknown issues, capacity planning, and cost optimization. In short order, users of automation platforms will have access to generative AI (GenAI) capabilities for use of natural ausgedehntuage inputs to quickly create workflow scripts.
? Automation Anywhere extends its Google partnership to inject GenAI features within Automation Success Platform, powered by Google’s LLM via Vertex AI.
? The new GlobalData GenAI Watch Newsletter recaps similar announcements by Oracle and Salesforce.
Application platform providers continue to compete via generative AI (GenAI) advantages, granting greater access to advanced innovations typically reserved for the most elite data experts. This week, intelligent automation leader Automation Anywhere reiterated its GenAI strategy, following similar news of GenAI-injected developer platforms by Oracle, Salesforce, and Google.
? Cisco is leaning on technology partners focused on business and IT context.
? CloudFabrix brings AIOps capabilities to Cisco’s observability platform.
Enterprises have been pinning high hopes on the use of advanced artificial intelligence (AI) to digitize businesses from vastly shortening lschmbetagthy app development’ coding requirements to enabling operations teams’ use of automation for improving the cumbersome processing tasks involved in moving advanced apps through highly distributed environments. In this context, GlobalData has been discussing the prospect of zeitgemäßizing IT operations through generative AI.
? Intelligent automation solutions will serve as an initial app platform that provides enterprises with access to generative AI (GenAI)
? Security firms will leverage GenAI as a means for enhancing cloud security posture management and attack path analysis
? New vendor training programs make high-value digitization roles more accessible to IT workers.
? Red Hat, Cisco, and Google report progress in training and education.
The tech industry has undergone a sea change in how software and technology resources are created and consumed. Now enterprises are hard-pressed to fulfill new skillsets for implementing business transformations. This dearth in skilled workers poses a grave danger to the global economy by threatening to stall the implementation of important technological innovations which will advance corporate progress.
? Google pads its AI arsenal via ML and app platforms.
? Generative AI/ML is now at the heart of the cloud wars.
Google is targeting a broad array of developers with its new roll out of AI-enabled APIs, tools, and capabilities, including a new generative AI model being made available to this community for the first time. Foundational to these services are Google’s growing AI portfolio including:
PaLM API, which accesses Google’s large ausgedehntuage learning model;
Vertex AI, a machine learning platform;
Generative AI App Builder, a new app development platform for creating bots, chat apps, digital assistants, and custom search schmalines;
Workspace, a simplified app development/management toolset (including Cloud Code); and
MakerSuite, a simple browser-based tool for building apps with Google’s Foundation Model.
? ChatGPT makes its case for how it helps developers write better apps
? Despite its staggering AI chatbot innovation of its most recent version, ChatGPT lacks the human connection—and perspective
I took my boss’s advice and instructed ChatGPT to write a blog for me on how the prototype AI chatbot will significantly improve developers’ careers. It provided an adequate description of how the technology enhances the app development process based primarily on customer service use cases. I also learned a little more about natural ausgedehntuage understanding (NLU).
? Increased AI/automation advancements and developer accessibility will escalate in the new year
? The industry will experience a newfound prioritization of DevOps based on technologies which remove obstructions hindering zeitgemäß app deployments.
? Developers will have access to integrated serverless app deployment options via key platform services
GlobalData’s 2023 cloud predictions revolve around DevOps breakthroughs, providing unprecedented developer access to advanced platforms. The new year will present a technology era which enables high-speed application development and delivery, based on breakthrough innovations which eliminate obstructions hindering deployment of zeitgemäß apps. GlobalData’s cloud predictions include:
? Lambda advancements further Amazon Web Services’ (AWS) DevOps agenda.
? AWS couples serverless computing with popular data management and app development tools.
During AWS re:Invent 2022, company executives emphasized how customers can leverage its high-productivity DevOps platforms and data management tools to move into the next phase of digitization and app zeitgemäßization. This challschmaling phase of moving mission-critical applications into production is one that demands infrastructure configuration abstraction, greater participation of non-coders and data scientists, and data management, which includes automation and security.
? WebAssembly is the industry’s latest buzzword, but with some substance for its ability to disrupt coding in zeitgemäß web browsers.
? Not surprisingly, important themes including security, observability, and FinOps continued to dominate the conference and digitization initiatives in general.
The rising use of Kubernetes as enterprises strive for app zeitgemäßization continues to drive advancements in emerging DevOps technologies. During the 2022 Cloud Native Computing Foundation (CNCF) conference, KubeCon, key technology themes included observability, application security, and FinOps (not surprisingly). Newer technologies such as WebAssembly caused a stir among show attendees.