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In this paper, automation service is defined as any method, technique or tool that can help reduce the intervention of human in any activity. These services are deterministic in nature, i.e. services are programmed to take a set of inputs, process them (with or without a rule engine) and give out the output. The output of such processes is always known beforehand based on the inputs and the rules. Such systems, however, do not learn from data. On the other hand, there is a more advanced category of automation services where processes are not programmed and they continuously learn from the data. Such services are categorized as intelligent automation services.
Automation services within the BPO and the ITO (Infrastructure and Applications) industry have gathered significant momentum over the last couple of years. If we see from the buyer point of view, automation services have also figured in CIO’s top three priorities and the industry has seen a lot of investments in it in the last few years.
Automation services industry is large and diverse with providers following a multi-pronged strategy to gain market share. Providers in this space can be broadly classified into six categories:
  • Pure play automation product vendors:Companies which are focusing on creating products and platforms for either the BPO or the ITO industry or both, e.g. Blue Prism, Automation Anywhere, IPSoft etc.
  • BPM product vendors: Erstwhile BPM product companies which are venturing into RPA and Intelligent Automation space e.g. Pega
  • Traditional enterprise product vendors: Enterprise software companies which are investing to create their own Automation platform. E.g. SAP (Leonardo).
  • Technology specialist vendors:Large companies that have invested in technology products in this space. E.g. IBM Watson, Microsoft Cortana, Amazon Alexa etc.
  • Traditional IT services vendors:Traditional IT service providers who are building capabilities, both products and services e.g. Wipro (HOLMES), TCS (Ignio), Infosys (Nia), etc.
  • Consulting vendors:Organizations who are building consulting capabilities (and not products) e.g. KPMG, Deloitte, EY etc. Some of them are also additionally developing System Integrator capabilities e.g. ISG.
Cloud computing is driving a huge transformation globally among developers, users and enterprises in how they access information, design/develop/implement applications and manage cost and infrastructure. The merits of cloud computing are widely accepted and organizations are moving quickly to keep pace with the transformation. Flexibility and scalability are going to be key drivers across various points in the business spectrum. Optimizing cloud technologies can improve platform efficiencies, enhance operational flexibility and business scalability with the potential to elevate businesses to the next level. Cloud computing services at VOLANSYS allows businesses to meet their future needs and dynamically scale cloud solutions as per their requirements. We help enterprises build cloud solutions from scratch, as well as facilitate the migration and maintenance of existing applications to cloud platforms.
Big data
This guide includes basic information about big data and a list of eight big data solutions for small businesses.
  • Big data is information too complex, large or fast for many traditional data processing methods.
  • Big data can help your company resolve key issues, bolster its cybersecurity, and plan a meaningful data and analytics strategy.
  • SAS, Qualtrics and Google Analytics are some of today's most prominent big data solutions.
  • This article is for business owners interested in using big data to bolster their business practices.
But can your business afford to take advantage of it? To successfully compete in today's marketplace, small businesses need the tools larger companies use. Of course, small businesses don't have all the resources of an enterprise-level corporation, like data scientists, analysts and researchers. However, there are many ways your small business can gather, analyze and make sense of the data you already have, as well as gain additional insights to help level the playing field. To that end, we've rounded up eight big data solutions for small businesses – but first, take the time to learn the basics and importance of big data.
IoT applications, such as ‘intelligent’ meters and appliances, connected cars and wearables, and so on, are generating unprecedented volumes of enterprise and consumer data. Companies have started aggressively leveraging Big Data, Analytics, Machine Learning, Artificial Intelligence, and other disruptive technologies, to glean tangible insights from this deluge of information. LTI offers enterprises a suite of Mosaic powered IoT solutions and IoT mobile apps, which ease this endeavor, leading to enhanced customer engagement and operational efficiency.
Providing insights to clients for enabling them to embark on their IoT journey. Facilitating Roadmap Creation, Domain-based Value Stream Mapping, Business Case Preparation, Use Case Definition, Solution Blueprinting, Business KPIs and ROI Mapping.