Customer service is the assistance and advice provided by a company through phone, online chat, mail, and e-mail to those who buy or use its products or services. Each industry requires different levels of customer service, but towards the end, the idea of a well-performed service is that of increasing revenues. The perception of success of the customer service interactions is dependent on employees "who can adjust themselves to the personality of the customer". Customer service is often practiced in a way that reflects the strategies and values of a firm. Good quality customer service is usually measured through customer retention.
SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics. SAS' analytical software is built upon artificial intelligence and utilizes machine learning, deep learning and generative AI to manage and model data. The software is widely used in industries such as finance, insurance, health care and education.
Operational intelligence (OI) is a category of real-time dynamic, business analytics that delivers visibility and insight into data, streaming events and business operations. OI solutions run queries against streaming data feeds and event data to deliver analytic results as operational instructions. OI provides organizations the ability to make decisions and immediately act on these analytic insights, through manual or automated actions.
Qlik [pronounced "klik"] provides a data integration, analytics, and artificial intelligence platform. The software company was founded in 1993 in Lund, Sweden and is now based in King of Prussia, Pennsylvania, United States. Thoma Bravo made the company private in 2016.
Splunk Inc. is an American software company based in San Francisco, California, that produces software for searching, monitoring, and analyzing machine-generated data via a web-style interface. Its software helps capture, index and correlate real-time data in a searchable repository, from which it can generate graphs, reports, alerts, dashboards and visualizations.
Samsung SDS Co., Ltd., Established in 1985 as a subsidiary of Samsung Group, is a provider of Information Technology (IT) services, including consulting, technical, and outsourcing services. SDS is also active in research and development of emerging IT technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT) and outsourcing in engineering. In 2019, Samsung SDS reported a net profit of 750.4 billion won, an increase of 17.5% year-on-year. The company is estimated to have the 11th most valuable brand among global IT service companies, at US$3.7 billion as of January 2020. Samsung SDS has headquarters in South Korea and eight other overseas subsidiaries, one in America, Asia-Pacific, China, Europe, Latin America, Middle East, India, and Vietnam.
Marine technology is defined by WEGEMT as "technologies for the safe use, exploitation, protection of, and intervention in, the marine environment." In this regard, according to WEGEMT, the technologies involved in marine technology are the following: naval architecture, marine engineering, ship design, ship building and ship operations; oil and gas exploration, exploitation, and production; hydrodynamics, navigation, sea surface and sub-surface support, underwater technology and engineering; marine resources ; transport logistics and economics; inland, coastal, short sea and deep sea shipping; protection of the marine environment; leisure and safety.
Sumo Logic, Inc. is a cloud-based machine data analytics company focusing on security, operations and BI use-cases. It provides log management and analytics services that use machine-generated big data. Sumo Logic was founded in April 2010 by ArcSight veterans Kumar Saurabh and Christian Beedgen, and is headquartered in Redwood City, California.
In the fields of Information Technology (IT) and Systems Management, IT operations analytics (ITOA) is an approach or method to retrieve, analyze, and report data for IT operations. ITOA may apply big data analytics to large datasets to produce business insights. In 2014, Gartner predicted its use might increase revenue or reduce costs. By 2017, it predicted that 15% of enterprises will use IT operations analytics technologies.
Dynatrace, Inc. is a global technology company that provides a software observability platform based on artificial intelligence (AI) and automation. Dynatrace technologies are used to monitor, analyze, and optimize application performance, software development and security practices, IT infrastructure, and user experience for businesses and government agencies throughout the world.
SAP Business Technology Platform is a platform as a service developed by SAP SE that offers a suite of services including database and data management, AI, analytics, application development, automation and integration all running on one unified platform.
DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. While DataOps began as a set of best practices, it has now matured to become a new and independent approach to data analytics. DataOps applies to the entire data lifecycle from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.
Amelia, formerly known as IPsoft, is an American technology company. It primarily focuses on artificial intelligence and cognitive and autonomic products for business. Its main products are Amelia, a Conversational AI platform, and Amelia AIOps, an IT operations management platform.
MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software field. Machine learning models are tested and developed in isolated experimental systems. When an algorithm is ready to be launched, MLOps is practiced between Data Scientists, DevOps, and Machine Learning engineers to transition the algorithm to production systems. Similar to DevOps or DataOps approaches, MLOps seeks to increase automation and improve the quality of production models, while also focusing on business and regulatory requirements. While MLOps started as a set of best practices, it is slowly evolving into an independent approach to ML lifecycle management. MLOps applies to the entire lifecycle - from integrating with model generation, orchestration, and deployment, to health, diagnostics, governance, and business metrics.
ModelOps, as defined by Gartner, "is focused primarily on the governance and lifecycle management of a wide range of operationalized artificial intelligence (AI) and decision models, including machine learning, knowledge graphs, rules, optimization, linguistic and agent-based models" in Multi-Agent Systems. "ModelOps lies at the heart of any enterprise AI strategy". It orchestrates the model lifecycles of all models in production across the entire enterprise, from putting a model into production, then evaluating and updating the resulting application according to a set of governance rules, including both technical and business key performance indicators (KPI's). It grants business domain experts the capability to evaluate AI models in production, independent of data scientists.
Intelligent automation (IA), or alternately intelligent process automation, is a software term that refers to a combination of artificial intelligence (AI) and robotic process automation (RPA). Companies use intelligent automation to cut costs and streamline tasks by using artificial-intelligence-powered robotic software to mitigate repetitive tasks. As it accumulates data, the system learns in an effort to improve its efficiency. Intelligent automation applications consist of but are not limited to, pattern analysis, data assembly, and classification. The term is similar to hyperautomation, a concept identified by research group Gartner as being one of the top technology trends of 2020.
AI-assisted virtualization software is a type of technology that combines the principles of virtualization with advanced artificial intelligence (AI) algorithms. This software is designed to improve efficiency and management of virtual environments and resources. This technology has been used in cloud computing and for various industries.
Atera Networks is an IT management software that integrates functionalities such as remote monitoring and management (RMM), patch management, and operational automation alongside operational aspects like help desk, and ticketing systems.
Network detection and response (NDR) refers to a category of network security products that detect abnormal system behaviors by continuously analyzing network traffic. NDR solutions apply behavioral analytics to inspect raw network packets and metadata for both internal (east-west) and external (north-south) network communications.
Artificial intelligence engineering is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions. It merges aspects of data engineering and software engineering to create real-world applications in diverse domains such as healthcare, finance, autonomous systems, and industrial automation.
