Technology and service providers (TSPs) who are able to offer an end-to-end service for 4G/5G private mobile network (PMN) include: CSPs, Network equipment providers (NEPs), Systems integrators (SIs) and Hyperscalers. PMNs are used exclusively by a given enterprise client, providing higher security and reliability than public cellular networks. PMN offerings can include voice, video, messaging and broadband data, as well as specific critical communications features (such as lone worker protection [LWP] or push-to-talk over cellular [PTToC]). PMNs can then support use cases around HD video, data, artificial intelligence (AI)/machine learning (ML) and Internet of Things (IoT), and run on-site or in a cloud, or a multiaccess edge computing data center (MEC DC).
Gartner defines AI code assistants as tools that assist in generating and analyzing software code and configuration. The assistants use foundation models such as large language models (LLMs) that have been optionally fine-tuned for code, or program-understanding technologies, or a combination of both. Software developers prompt the code assistants to generate, analyze, debug, fix, and refactor code, to create documentation, and to translate code between languages. Code assistants integrate into developer tools like code editors, command-line terminals and chat interfaces. Some can be customized to an organization’s specific codebase and documentation. AI code assistants can enhance a software developer’s experience by boosting efficiency, accelerating application development, minimizing cognitive overload, amplifying problem-solving skills, accelerating learning pace, fostering creativity and maintaining state of flow.
Gartner defines the application programming interface (API) management market as the market for software to manage, govern and secure APIs. Organizations use APIs to modernize their architectures; APIs provide access to systems, services, partners and data services. API management software enables organizations to plan, deploy, secure, operate, version control and retire APIs, regardless of their size, region or industry.
API protection products protect APIs from exploits, abuse and access violations, and assist in remediating API exposures. These products perform API discovery and posture management and provide runtime protection. API protection products may be delivered as cloud-based or on-premises solutions. API protection products serve to provide capabilities to organizations that need to protect their data assets primarily from attacks against the first-party APIs they expose publicly. They also need to provide coverage for the internal APIs and the third-party APIs that they may consume. API products deliver a catalog of inventoried APIs, a prioritized list of remediations of API exposures and alerts on suspicious or malicious activity on APIs.
Advertising technology (ad tech platforms) help digital marketing leaders plan, buy and manage digital advertising campaigns across channels including but not limited to: display, video, streaming TV and audio, mobile, social and search. They provide functions for campaign planning, media buying, advertising analysis and optimization and automation. Ad tech platforms can be used by buy-side and sell-side agents; this definition focuses exclusively on the buy side.
Analytics and business intelligence platforms — enabled by IT and augmented by AI — empower users to model, analyze and share data. Analytics and business intelligence (ABI) platforms enable organizations to understand their data. For example, what are the dimensions of their data — such as product, customer, time, and geography? People need to be able to ask questions about their data (e.g., which customers are likely to churn? Which salespeople are not reaching their quotas?). They need to be able to create measures from their data, such as on-time delivery, accidents in the workplace and customer or employee satisfaction. Organizations need to blend modeled and nonmodeled data to create new data pipelines that can be explored to find anomalies and other insights. ABI platforms make all of this possible.
Reviews for 'Application Development, Integration and Management - Others'
Application platforms provide runtime environments for application logic. They manage the life cycle of an application or application component, and ensure the availability, reliability, scalability, security and monitoring of application logic. They typically support distributed application deployments across multiple nodes. Some also support cloud-style operations (elasticity, multitenancy and self-service).
Gartner defines cloud AI developer services (CAIDS) as cloud-hosted or containerized services and products that enable software developers who are not data science experts to use artificial intelligence (AI) models via APIs, software development kits (SDKs) or applications. Core capabilities include automated machine learning (autoML) including automated data preparation, automated feature engineering and automated model building, and model management and operationalization for language, vision and tabular use cases. Optional and important complementary capabilities include AI code models and assistants. Cloud AI developer services help organizations embed intelligence, such as AI and ML insights, into their applications. While that is what cloud AI developer services offer, it is more important to note how they accomplish this. These services democratize and increase the availability of AI and ML to software engineers through the automation and features offered. Traditional activities regarding data acquisition, data quality, feature engineering, algorithm selection and model training are augmented by the technology. Cloud AI developer services open up a world of possibilities for software engineers to build AI and ML production capabilities and features for enterprise-built applications.
Gartner defines the market for cloud database management systems (DBMSs) as the market for software products that store and manipulate data and that are primarily delivered as software as a service (SaaS) in the cloud. Cloud DBMSs may optionally be capable of running on-premises, or in hybrid, multicloud or intercloud configurations. They can be used for transactional work and/or analytical work. They may have features that enable them to participate in a wider data ecosystem. Must-have capabilities for this market include: Availability as SaaS on provider-managed public or private cloud systems; Management of data within cloud storage — that is, cloud DBMSs are not hosted in infrastructure as a service (IaaS), such as in a virtual machine or a container managed by the customer.
Cloud development environments (CDEs) provide remote, ready-to-use access to a cloud-hosted development environment with minimal effort for setup and configuration. This decoupling of the development workspace from the physical workstation enables a low-friction, consistent developer experience. CDEs offer built-in integrated development environment (IDE) capabilities such as code editing, debugging, code review and code collaboration, but also integrate with artificial intelligence (AI) code assistants and DevOps tools such as source code and artifact repositories. CDE users include but are not limited to software engineers, data scientists and AI engineers. CDEs provide consistent, secure developer access to preconfigured remote development workspaces. This frees developers from setting up their own local environments, eliminating the need to install and maintain dependencies, software development kits, security patches and plug-ins, which increasingly include AI code assistants. CDEs are prepackaged with tools to support multiple programming languages and frameworks enabling teams to write code across multiple technology stacks with standardized and templatized workflows. Developers can either access a remotely hosted IDE using a browser-based interface or use their locally installed IDE to connect to the CDE.
Gartner defines cloud WAAP as a category of security solutions designed to protect web applications irrespective of their hosted locations. Typically delivered as a service, cloud WAAP is offered as a series of security modules that provide protection from a broad range of runtime attacks. It offers protection from the Top 10 web application security risks defined by the Open Web Application Security Project (OWASP) and automated threats, provides API security, and can detect and protect against multiple sophisticated Layer 7 attacks targeted at web applications. Cloud WAAP’s core features include web application firewall (WAF), bot management, distributed denial of service (DDoS) mitigation and API protection.
Gartner defines container management as offerings that enable the deployment and operation of containerized workloads. Delivery methods include stand-alone software or as a service. Delivery methods include cloud, managed service and software for containers running on-premises, in the public cloud and/or at the edge. Container management automates the provisioning, operation and life cycle management of containerized workloads at scale. Centralized governance and security policies are used to manage container workloads and associated resources. Container management supports the requirements of modern applications (also refactoring legacy applications), including platform engineering, cloud management and continuous integration/continuous deployment (CI/CD) pipelines. Benefits include improved agility, elasticity and access to innovation.
Content collaboration tools provide an easy way for employees to use and share content both inside and outside the organizations. Since these tools can be used to collaborate with customers, partners and suppliers, they often provide rich security and privacy controls. Today, much of this functionality also can be found in other tools such as cloud office platforms, workstream collaboration platforms, content services platforms and content services applications. Functional differentiators in dedicated CCTs are difficult to identify.
Reviews for 'Customer Relationship Management - Others'
The market for distributed denial of service (DDoS) mitigation includes vendors that detect and mitigate DDoS attacks and offer it as a dedicated offering. It includes specialty vendors, whose primary focus is DDoS mitigation, as well as providers that offer DDoS mitigation as a feature of other services. These include dedicated appliance-based vendors, communication service providers (CSPs), content delivery network (CDN) vendors, hosting providers and cloud infrastructure and platform services (CIPS) vendors.
Data preparation is an iterative and agile process for finding, combining, cleaning, transforming and sharing curated datasets for various data and analytics use cases including analytics/business intelligence (BI), data science/machine learning (ML) and self-service data integration. Data preparation tools promise faster time to delivery of integrated and curated data by allowing business users including analysts, citizen integrators, data engineers and citizen data scientists to integrate internal and external datasets for their use cases. Furthermore, they allow users to identify anomalies and patterns and improve and review the data quality of their findings in a repeatable fashion. Some tools embed ML algorithms that augment and, in some cases, completely automate certain repeatable and mundane data preparation tasks. Reduced time to delivery of data and insight is at the heart of this market.
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling that support the independent use by, and collaboration between, data scientists and their business and IT counterparts through all stages of the data science life cycle. These stages include business understanding, data access and preparation, experimentation and model creation, and sharing of insights. They also support machine learning engineering workflows including creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances and/or as a fully managed cloud offering. Data science and machine learning (DSML) platforms are designed to allow a broad range of users to develop and apply a comprehensive set of predictive and prescriptive analytical techniques. Leveraging data from distributed sources, cutting-edge user experience, and native machine learning and generative AI (GenAI) capabilities, these platforms help to augment and automate decision making across an enterprise. They provide a range of proprietary and open-source tools to enable data scientists and domain experts to find patterns in data that can be used to forecast financial metrics, understand customer behavior, predict supply and demand, and many other use cases. Models can be built on all types of data, including tabular, images, video and text for applications that require computer vision or natural language processing.
Reviews for 'Data and Analytics - Others'
A D&A governance platform is a set of integrated business capabilities that helps business leaders and users evaluate and implement a diverse set of governance policies and monitor and enforce those policies across their organizations’ business systems. These platforms are unique from data management and discrete governance tools in that data management and such tools focus on policy execution, whereas these platforms are used primarily by business roles — not only or even specifically IT roles.
Gartner defines DevOps platforms as those that provide fully integrated capabilities to enable continuous delivery of software using Agile and DevOps practices. The capabilities span the development and delivery life cycle built around the continuous integration/continuous delivery (CI/CD) pipeline and include aspects such as versioning, testing, security, documentation and compliance. DevOps platforms support team collaboration, consistency, tool simplification and measurement of software delivery metrics. DevOps platforms simplify the creation, maintenance and management of the components required for the delivery of modern software applications. Platforms create common workflows and data models, simplify user access, and provide a consistent user experience (UX) to reduce cognitive load. They lead to improved visibility, auditability and traceability into the software development value stream. This end-to-end view encourages a systems-thinking mindset and accelerates feedback loops.
Gartner defines document management as the tools and practices used to capture, store, process, and access documents and content in support of personal, team and enterprise needs. It is used for a wide range of collaborative and operational purposes, enabling the digital workplace, content collaboration, content-centric processes, content services for enterprise applications and content governance. Gartner estimates that 70% to 80% of enterprise information is unstructured, posing a significant challenge for organizations that must unlock the potential and mitigate the risks of content. Document management tools are critical to enterprise application strategies that need to support unstructured information or content.
Earth Intelligence is centred around the collection and analysis of geospatial data and deriving insights using earth observation technologies. The data collected is regarding Earth's physical, biological, and human systems via high-resolution satellite imagery, aerial sensors, remote sensing etc. It provides geospatial analysis which involves analysing and interpreting data that has a geographical or spatial element, using tools like Geographic Information Systems (GIS), deriving insights that help in informed decision making. It is used by environmental groups and government agencies for environmental monitoring, resource management, disaster management, urban planning and understanding global changes.
Edge Distribution Platform (EDP) is a highly distributed, edge-based, integrated network and cloud delivery infrastructure. It provides as-a-service functionalities such as edge compute and storage, web application and perimeter security, content and API acceleration, and data and analytics and AI applications. Edge distribution platform providers offer these functionalities by deploying network, compute, storage and caching nodes across geographically distributed self-owned or third party data center locations. Figure 1 shows the functionalities and potential offerings provided from an edge distribution platform
Gartner defined Embedded analytics: Allows analytics, data science or low-code application platform (LCAP) features to be included in a business workflow via APIs. Analytics outputs can either be included in host business applications or be exposed in extranet applications to customers, suppliers or partners. Embedded analytics tends to be narrowly deployed around specific processes, such as marketing campaign optimization, sales lead conversions, inventory demand planning and financial budgeting. It is software that delivers real-time reporting, interactive data visualization and/or advanced analytics — including machine learning — directly into an enterprise business application.
An embedded operating system (OS) is a type of OS that is used in embedded computing devices. The term 'embedded' refers to devices that are installed (that is, embedded) as built-in components of a wider system, in which they serve a special, functional purpose. Embedded OSs differ from other types of OSs by their optimized design. Form factors, price points and other parameters of embedded devices set constraints on the OS, for example, in terms of functionality, user interface, memory space and driver support. Consequently, the architectures of embedded OSs tend to be extensively optimized for single-purpose deployment, stripped out of anything that is considered unnecessary for their use. This does not mean that embedded OSs cannot be applied outside of embedded devices. For instance, it is common to see embedded real-time operating systems (RTOSs) being used to handle the baseband functionality in smartphones.
An enterprise browser is a specialized web browser designed for corporate use, featuring advanced security, centralized management, and seamless integration with enterprise systems. It ensures compliance with corporate policies, protects against cyber threats, and optimizes productivity by managing web access and securing sensitive data. The key features include comprehensive protection against malware and phishing, IT management tools for remote control of settings and policies, and secure data handling through encryption. The typical users include IT administrators, security professionals, and business leaders, and more.
Gartner defines the enterprise conversational AI platform market as the market for software platforms used to build, orchestrate and maintain multiple use cases and modalities of conversational automation. The enterprise conversational AI platform consists of: A capability layer providing runtime capabilities that include: Natural language understanding (NLU), Dialogue management, Channel integration, Back-end integration, Access control for platform users, Life cycle management; A tooling layer geared toward business users that includes: A no-code environment for building and maintaining, applications, Analytic tools for understanding dialogue flows, NLU intent and entity tuning tools, A/B flow testing tools.
Enterprise information archiving (EIA) solutions are designed for archiving data sources to a centralized platform to satisfy information governance requirements, including regulatory and/or corporate governance and privacy; improve data accessibility; surface new data insights; and gain operational efficiencies. There are several core capabilities of this market. They include archiving digital communication content, such as email, workstream collaboration, instant messaging (IM) and SMS; classifying data and enabling retention management of archive content; creating a searchable index of content; and providing basic tools for e-discovery and supervision.
Gartner defines enterprise low-code application platforms (LCAPs) as platforms for accelerated development and maintenance of applications, using model-driven tools for the entire application’s technology stack, generative AI and prebuilt component catalogs. Enterprise LCAPs target software engineering teams responsible for custom application development and maintenance. Enterprise LCAP features include support for the collaborative development of all application components; runtime environments for high performance, availability and scalability of applications; application deployment and monitoring with detailed usage insights. Enterprise LCAP platforms feature governance controls and success management through self-service capabilities and APIs, developer documentation and training, and service-level agreements for platform operations. Enterprise LCAPs provide the foundation for developing a wide range of application types and application components, including complex front ends, business process automation and distributed data sources.
An enterprise search engine is a specialized search tool designed to help organizations index, search, and retrieve information stored within their internal data repositories. Unlike general web search engines that index and search the entire internet, enterprise search engines focus on the internal data of an organization, which can include documents, emails, databases, intranet sites, and other digital assets or data sources. Modern enterprise search engines often incorporate Natural Language Processing (NLP) and Machine Learning (ML) and AI-powered technologies to enhance their capabilities and improve the search experience. This type of search engine is adept at handling both structured and unstructured data, making it invaluable for diverse use cases such as knowledge management, customer support, and business intelligence. By integrating these enterprise search software capabilities, organizations can ensure that employees have quick and relevant access to the information they need, thereby improving productivity and decision-making.
Enterprise social networking applications facilitate, capture and organize open conversations and information sharing between individual workers and groups within an organization. In addition to capabilities that support conversations and information sharing, they can keep track of the network of relationships between participants (via social graphs), in order to deliver a personalized stream of updates about events or conversations to individuals (via news feeds and activity streams). These applications help people find out about each other, have discussions, share information and generally interact. Interaction occurs either at a one-to-one level, or in groups, teams, communities and networks, and in the context of structured or unstructured business activities.
Event brokering is a role played by middleware in facilitating event-driven application architecture. The minimum capability required to play the role of event broker is pub-sub messaging. All middleware products, including MOMs and ESBs, supporting pub-sub can play the role of an event broker and can be referred to as basic 'event brokers' when so deployed. Middleware products that additionally offer special support for event-centric use cases (for example, a persistent event ledger for analysis and event sourcing, or programmable extensibility for custom filtering and analysis) are 'advanced' event brokers.
The market for ESP platforms consists of software subsystems that perform real-time computation on streaming event data. They execute calculations on unbounded input data continuously as it arrives, enabling immediate responses to current situations and/or storing results in files, object stores or other databases for later use. Examples of input data include clickstreams; copies of business transactions or database updates; social media posts; market data feeds; images; and sensor data from physical assets, such as mobile devices, machines and vehicles.
Generative AI (GenAI) apps use generative AI capabilities for user experience and task augmentation to accelerate and assist the completion of a user’s desired outcomes. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. When embedded in the experience, generative AI offers richer contextualization for singular tasks such as generating and editing text, code, images and other multimodal output. As an emerging capability, process-aware generative AI agents can be prompted by users to accelerate workflows that tie multiple tasks together. Apart from helping save time and money, generative AI apps help improve branding of businesses by creating more engaging and effective content while also creating more engaging and immersive experiences for customers. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
Generative AI (GenAI) Infrastructure providers are infrastructure vendors (such as cloud platforms and hardware manufacturers) that offer underlying technology, tools and hardware that other companies and developers use to build and deploy specific generative AI applications in production. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. These providers offer scalable, reliable and cost-effective solutions for generative AI projects, which can be complex and expensive to train and deploy. Generative AI infrastructure providers focus on research and developing the foundational AI techniques, while application developers focus on building products using those foundational technologies. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
Hadoop distributions are used to provide scalable, distributed computing against on-premises and cloud-based file store data. Distributions are composed of commercially packaged and supported editions of open-source Apache Hadoop-related projects. Distributions provide access to applications, query/reporting tools, machine learning and data management infrastructure components. First introduced as collections of components for any use case, distributions are now often delivered as part of a specific solution for data lakes, machine learning or other uses. They subsequently grow into additional, expanded roles, competing with both older technologies like database management systems (DBMSs) and newer ones like Apache Spark.
Infrastructure monitoring tools capture the health and resource utilization of IT infrastructure components, no matter where they reside (e.g., in a data center, at the edge, infrastructure as a service [IaaS] or platform as a service [PaaS] in the cloud). This enables I&O leaders to monitor and collate the availability and resource utilization data of physical and virtual entities — including servers, containers, network devices, database instances, hypervisors and storage. These tools collect data in real time and perform historical data analysis or trending of the elements they monitor.
Gartner defines Insight Engines as follows: Insight engines apply relevancy methods to discover, analyze, describe and organize content and data. They enable the interactive or proactive delivery or synthesis of information to people, and data to machines, in the context of their respective business moments. Insight engines should be viewed as platforms on which applications are provided, developed or augmented by applying the capabilities listed above to specific employee and customer experience use cases. Such applications are provided out of the box by vendors (e.g., intranet or site search), developed through technical partnerships (e.g., search within third-party applications), developed with customers in-house (e.g., expert finder), or developed through integration with third-party applications (e.g., extracting data from documents to support RPA).
Reviews for 'Internet of Things - Others'
Machine learning Infrastructure as a Service (ML IaaS) is an infrastructure delivery model that provisions virtualized or bare-metal infrastructure resources that are performance optimized for compute-intensive ML and DNN workloads . The ML IaaS market is characterized by core capabilities, including hardware-accelerated, high-performance compute platforms, usually augmented by accelerator technologies like GPU, FPGA or custom processors like Google TPU. Due to the unique nature of hardware-involved DNN frameworks (such as TensorFlow, pyTorch, Caffe and MxNet), they need to be reconfigured and integrated with appropriate libraries to take full advantage of ML IaaS capabilities.
Marketing dashboard tools collect and integrate marketing data from multiple sources, visualize it, and enable visualization and exploration through a web-based interface. The technology helps marketers deliver near-real-time data and reporting to stakeholders across the marketing organization and the enterprise. These tools cater to the business user rather than the technical professional, as they do not require you to manage a data warehouse or to define a semantic layer. The market features SaaS-based offerings from large, diversified providers as well as small pure-play vendors. Some of these sell marketer-focused solutions, and others have tailored their IT-focused offerings to this new buyer segment.
Meeting solutions are real-time communication services with their associated devices that support live interactions between participants for internal and external collaboration, presentations, learning, training sessions and webinars. Meeting solutions power diverse use cases, such as one-on-one meetings, remote sales engagements, board meetings, telehealth sessions, remote banking and consulting services, to name just a few. Meeting solutions enable rich information sharing and interaction by combining audio and video, in-meeting chat, content and screen sharing, and visual collaboration and whiteboarding.
Gartner defines microsegmentation as the ability to insert a security policy into the access layer between any two workloads in the same extended data center. Microsegmentation technologies enable the definition of fine-grained network zones, down to individual assets and applications. Core capabilities include: - Flow mapping, which is the ability to gather and show North/South and East/West traffic flows and use them in the policy definition (it can present this data in a visual manner) - Workload isolation, which is isolation from other workloads based on security policy - Policy enforcement, including the definition of rules based on different factors - The ability to deploy in the virtualized and infrastructure as a service environments Some of the most frequent optional capabilities of microsegmentation technologies include: - Automation of the deployment as part of a continuous integration/continuous deployment (CI/CD) pipeline - Integration with cloud infrastructure to ease deployment, enforce rules or automate policy updates when new assets are deployed - Asset discovery: adjacent to the flow mapping, microsegmentation tools can show more advanced context for the assets - Policy recommendation engine: complementary to the asset discovery, microsegmentation technology can suggest policy rules to authorize discovered flows - Threat detection: based on threat intelligence, layer seven protocol inspection and anomaly detection - Interoperability through direct integration with third-party products, such as a firewall, and hardware, such as switches and routers - Internet of Things (IoT)/operational technology (OT) coverage — the solution supports microsegmentation for IoT/OT infrastructure - Kubernetes/Container coverage — the solution supports microsegmentation for containers/K8s
Mobile back-end services deliver capabilities to mobile apps via APIs and/or software development kits (SDKs) that can be incorporated into mobile apps, and, increasingly, web apps and other digital channels. MBSs are commonly cloud-hosted services, but they can also be deployed in a virtual private cloud or even on-premises. The services are delivered as middleware between the client resident mobile apps and the enterprise systems of record, whether on-premises or in the cloud, along with any public or third-party data sources. In addition, many MBS providers also offer hosted databases for both structured and unstructured data. These hosted solutions can be independent of back-end data repositories, or they can be a buffer for the systems of record and provide a cached data source to isolate back ends from high transaction rates, which are often seen in conjunction with mobile apps.
Gartner defines multichannel marketing hubs (MMHs) as software applications that orchestrate personalized communications to individuals in common marketing channels. MMHs optimize the timing, format and content of interactions through the analysis of customer data, audience segments and offers. MMHs are foundational for multichannel marketing, customer journey orchestration and next best action programs.
An MXDP is an opinionated, integrated set of front-end development tools and “backend for frontend” (BFF) capabilities. It enables a distributed, scalable development approach (in terms of both teams and architecture) to build fit-for-purpose apps across digital touchpoints and interaction modalities. At minimum, an MXDP must support cross-platform development and building of both custom iOS and Android app binaries, responsive web apps, and at least one of the following: PWAs, chatbots, voice apps, wearables and Internet of Things (IoT) apps, and augmented-reality (AR) and mixed-reality (MR) apps.
Gartner defines observability platforms as products that ingest telemetry (operational data) from a variety of sources including, but not limited to, logs, metrics, events and traces. They are used to understand the health, performance and behavior of applications, services and infrastructure. Observability platforms enable an analysis of the telemetry, either via human operator or machine intelligence, to determine changes in system behavior that impact end-user experience such as outages or performance degradation. This allows for early, and even preemptive, problem remediation. Observability solutions are used by IT operations, site reliability engineers, cloud and platform teams, application developers, and product owners. Observability platforms are used by organizations to understand and improve the availability, performance and resilience of these critical applications and services. Investment in and successful deployment of observability platforms leads to revenue loss avoidance and enables faster product development cycles and improvements in brand perception.
Reviews for 'Office Productivity Solutions - Others'
Gartner defines the OFD market as the market for solutions that detect and prevent fraudulent actions within digital channels (browsers and mobile apps). OFD solutions provide a spectrum of capabilities within digital channels to prevent direct and indirect financial losses and to mitigate risks. Their core capabilities: Mitigate the activity of malicious automated bots; Detect account takeover (ATO) attacks and trigger remedial actions; Detect fraudulent activity in high-risk events along the digital customer journey, such as when customers make payments, transfer funds, perform account management actions or access personally identifiable information (PII).
Over-the-top (OTT) television or video refers to on-demand or live programming streamed over the internet to any device. This includes OTT advertising, which is integrated into video content on streaming services and OTT platforms. Connected TV (CTV) is the subset of this viewing that occurs on a big screen via the native TV operating system, interface, or apps, including smart TVs. Advertising spots generally run during programming, with durations ranging from several seconds to several minutes. Typical users include brands, media companies, automotive firms, financial services, and marketers. Key features include precise audience targeting, interactive ad capabilities, and comprehensive analytics provided by OTT services
Photo Management Software is a program that organizes, manages and stores digital photos. It helps users to find image files quickly while also offering features such as photo editing, categorization, tagging, indexing, and searching. It also facilitates sharing of photos directly to social media or other platforms. It is a valuable tool for anyone who takes a lot of digital photos but is particularly useful for marketing and advertising agencies, journalists and media professionals as well social media managers.
Programmatic segment-based advertising refers to a method of delivering targeted programmatic ads by using automated systems to buy and place ads in real-time through real-time bidding on ad exchanges, based on predefined audience segments. These segments are typically created using data about users' demographics, behaviors, interests, or other characteristics. Instead of showing ads to a broad audience, advertisers use programmatic advertising technology to target specific groups of people who are most likely to be interested in their products or services, improving the relevance and effectiveness of digital advertising ad campaigns aimed at the target audience.
Public cloud storage is infrastructure as a service (IaaS) that provides block, file, object and hybrid cloud storage services delivered through various protocols. The services are stand-alone, but often used in conjunction with compute and other IaaS products. The services are priced based on capacity, data transfer and/or number of requests. The services provide on-demand storage capacity and self-provisioning capabilities. Stored data exists in a multitenant environment, and users access that data through the block, network and REST protocols provided by the services.
Rapid mobile app development (RMAD) tools are a class of coding-optional tools that enable nonprogrammers to build mobile apps to support, at a minimum, iOS and Android devices. These tools offer high productivity for developers and nondevelopers alike through a variety of approaches that both automate and abstract app development efforts, including drag-and-drop editors, code generation and orchestration, model-driven development, virtualization, business process mapping, component assembly, app configuration and forms construction.
Gartner defines Search and Product Discovery as applications that augment digital commerce solutions to facilitate navigation, filtering, comparisons, and ultimately selection of products. They provide search (keyword, natural language and visual), merchandising (automation, configuration, and curation of business rules to make a product discoverable based on business needs), product recommendations, catalog navigation (and SEO keyword automation), personalization and analytics capabilities through SaaS to enable customers (B2C and B2B) to transact. They also enable providers (merchandisers, content managers, and search specialists) to support customer experiences. With the emergence of generative AI, conversational search interfaces are now appearing. Search and Product Discovery applications use product data to facilitate navigation, filtering, comparisons and ultimately product selection. Search results can be highly visual, using engaging layouts and multimedia. Content other than product information, such as educational information, compliance materials and related news may also be included in search results to engage customers and further support buying decisions.
SIEM is a configurable security system of record that aggregates and analyzes security event data from on-premises and cloud environments. SIEM assists with response actions to mitigate issues that cause harm to the organization and satisfy compliance and reporting requirements. The security information and event management (SIEM) system must assist with: 1. Aggregating and normalizing data from various IT and operational technology (OT) environments 2. Identifying and investigating security events of interest 3. Supporting manual and automated response actions 4. Maintaining and reporting on current and historical security events
Security orchestration, automation and response (SOAR) solutions combine incident response, orchestration and automation, and threat intelligence (TI) management capabilities in a single platform. SOAR tools are also used to document and implement processes (aka playbooks, workflows and processes); support security incident management; and apply machine-based assistance to human security analysts and operators. SOAR solutions must provide: - Highly customizable workflow process management that enables repeatable automated tasks to be turned into playbooks that run in isolation or joined together into more sophisticated workflows. - The ability to store (locally or in a third-party system) incident management data to support SecOps investigations. - Manually instigated and automated triggers that augment human security analyst operators to carry out operational tasks consistently. - A mechanism to collate and better operationalize the use of threat intelligence. - Support for a broad range of existing security technologies that supports improved analyst efficiency and acts as an abstraction layer between the desired outcomes and the custom-made set of solutions in place in your environment.
Reviews for 'Security Solutions - Others'
Gartner defines the service mesh market as the market for distributed computing middleware that enables, secures and optimizes communications between services running primarily in container management systems. A service mesh provides lightweight mediation, dynamic service discovery, request routing, observability, traceability and communication security. The service mesh is a technology that provides software infrastructure for communications between distributed application components deployed mainly in container management systems such as Kubernetes. This type of middleware helps manage and monitor service-to-service (east-west) communications, especially among microservices within an application domain. It also provides visibility into service interactions, enabling proactive operations and faster diagnostics. It automates complex communication concerns, thereby improving security, developer productivity and ensuring that standards and policies are enforced consistently across applications.
Gartner defines the service orchestration and automation platform (SOAP) market as encompassing solution suites that deliver capabilities enabling organizations to manage workloads, workflows, resource provisioning and data pipelines across their technology landscapes. SOAPs enable infrastructure and operations (I&O) leaders to design and implement business services. These platforms combine workflow orchestration, workload automation and resource provisioning across an organization’s hybrid digital infrastructure. Increasingly, they are central to an organization’s ability to deploy workloads and to optimize deployments as a part of cost and availability initiatives. SOAPs expand the role of traditional workload automation by adapting to use cases that deliver and extend into data pipelines, cloud-native infrastructures and application architectures. These tools complement and integrate with DevOps toolchains to provide customer-focused agility, cost savings, operational efficiency and process standardization.
The market for social software in the workplace includes software products that support people working together in teams, communities or networks. These products can be tailored to support a variety of collaborative activities. Buyers are looking for virtual environments that can engage participants to create, organize and share information, and encourage them to find, connect and interact with each other. Business use of these products ranges from project coordination within small teams or homogeneous groups, to information exchange between employees across an entire organization.
The market for SA platforms in customer service and support is an application that analyzes speech content in customer interactions in real time and postcontact. Vendors providing these services offer the following solutions: -Transcription and metadata for traits of the interaction, including sentiment analysis -Interface for designing workflows and visualizing data -Storage and flexible deployment options -Ability to customize speech models, encrypt and redact sensitive data, and integrate with the enterprise ecosystem. Informed application of SA technology capabilities will help customer service and support leaders monitor and evaluate customer interactions to improve customer and employee experience. SA platforms can either be stand-alone analytics platforms with integration capabilities or can be included natively as part of broader customer engagement suites.
Gartner defines strategic cloud platform services (SCPS) as standardized, automated, public cloud offerings integrating infrastructure services (e.g., computing, network and storage), platform services (e.g., application, data and value-added services such as AI/ML) and transformation services (resources to help customers adopt cloud-oriented IT delivery models). Although owned by the service provider, infrastructure and platform services may be hosted in providers’ infrastructures or customers’ data centers. Services should be elastically scalable, metered by use, and consumable via web-based interfaces and programmable APIs. Transformation programs may be delivered by automated, self-service interfaces, and managed interactions facilitated by account teams/partners.
A tag management system (TMS) helps to manage the tracking tags used in digital marketing. Tag management systems simplify the deployment and maintenance of JavaScript tags, used in online content to interface with applications such as web analytics, personalization, and advertising. Data can be collected at various points of the customer journey, such as an in-page interaction or page-load event. With TMS, a single tag replaces all other tags and when executed, the tag manager publishes other tags, based on business rules and a common data model. TMS also provides an intuitive and easy-to-use interface along with a vast library of tags, triggers & variables.
Gartner defines unified communications as a service (UCaaS) as a multitenant, subscription-based service. It is cloud-delivered, and it provides business telephony features; external, public switched telephone network (PSTN) connectivity that enables inbound or outbound calling; and collaboration features, such as messaging and meetings. UCaaS services can be consumed by end users with traditional handsets, desktop clients, meeting room systems and mobile apps. Gartner’s definition of meetings for the UCaaS market focuses on the capabilities for internal collaboration, work from home and external presentation meeting use cases only. Other specialized use cases — such as webinar, remote support, distance learning and training — are often available from UCaaS offerings, but are not mandatory for this research. These use cases are part of a separate market defined by Gartner (meeting solutions).
Gartner defines a unified endpoint management (UEM) tool as a software-based tool that provides agent and agentless management of computers and mobile devices through a single console. Modern UEM tools: Provide a user-centric view of devices across device platforms; Offer agent and/or agentless management through native Windows endpoint, macOS, Linux and Chrome OS controls. Offer agentless mobile management through native Apple iOS/iPad OS and Google Android controls; Aggregate telemetry and signals from identities, apps, connectivity and devices to inform policy and related actions; Aggregate and analyze technology performance and employee experience data; Integrate with identity, security and remote access tools to support zero-trust access and contextual authentication, vulnerability, policy, and configuration and data management; Manage nontraditional devices, including Internet of Things (IoT) devices, wearables and rugged handhelds.
Visual collaboration applications enable teams to communicate and creatively collaborate for asynchronous and real-time work activities on a blank, infinitely scalable shared digital canvas. These applications support colocated and remote users to create, co-edit, review and share precreated content to visualize complex ideas. Some vendors also provide extended capabilities such as voice and video communication, APIs to connect with other business applications, and predesigned templates for structured formats. The users can export created content in portable formats. These applications are generally offered as cloud-based SaaS products, but a few vendors offer on-premises and private cloud deployment options as well.
Gartner uses the following market definitions: Web analytics tools — Specialized analytics tools used to understand and improve the digital CX, attract and retain users, and analyze operations and actions taken across responsive websites and mobile apps. Product analytics tools — Tools and processes used to understand the behavior of users across products or services to inform decisions about how to improve the product experience and increase product engagement. Digital experience analytics tools — Tools that provide diagnostic insights into visitor activity and the CX on responsive web and mobile apps, enabled by advanced analytics and machine learning, session replay and heat map technology.
The workstream collaboration (WSC) market consists of products that deliver a conversational workspace based on a persistent group chat. Products in this market are primarily used to organize, coordinate, and execute outcome-driven teamwork such as that associated with the project- or process-related activities. Secondary uses can include ad hoc collaboration and community discussions.
Gartner defines zero trust network access (ZTNA) as products and services that create an identity and context-based, logical-access boundary that encompasses an enterprise user and an internally hosted application or set of applications. The applications are hidden from discovery, and access is restricted via a trust broker to a collection of named entities, which limits lateral movement within a network.