Data Analytics and AI Solutions and Services

Collect, manage, and analyze data flows from multiple sources and ecosystems. Deploy advanced data ingestion, processing, and security engines. Embrace cutting-edge Artificial Intelligence (AI) to generate business-relevant insights for informed decision-making

The Data Intelligent Enterprise to Survive and Thrive

Does this require any more persuasion post pandemic?

Cloud, Big Data, AI, and IoT: Often touted as the fundamental pillars of the Fourth Industrial Revolution, a multi-impact phase described as more revolutionary and larger than the last three. However, if we lean closer, what seems like four different technologies on the surface form part of a larger whole.

Modern enterprises are fast expanding into diversified endpoint ecosystems: mobiles, user PCs and laptops, smartwatches and wearable devices, biometric devices, sensors, and more. Gargantuan amounts of data flow from these endpoint ecosystems to the centralized Cloud IT ecosystems where the same is stored and processed with cutting-edge analytical solutions. AI solutions run on top to generate smart business insights, automate key processes, and lay the groundwork for further innovations, affecting the firm’s endpoint footprint across and the market. The cycle repeats with information and intelligence at the core.

Such competency is fundamental for 21st-century businesses. But, what’s the reality?

The connected universe would span to 31 billion devices by 2025, generating data in the range of 175-180 zettabytes
CIOs rank Data Analytics Competency as the numero uno factor while considering market relevance and competitiveness
Top performing organizations utilize analytics 5X more than peers

Cloud4C:
Beyond the Obvious

Over a hundred million businesses today still lack basic awareness and skill sets on data management, let alone deploying AI for intelligent transformation. Major reasons include insufficient storage, inertia with age-old legacy infrastructure, crippling cybersecurity strategies, and traditional, non-smart business models. While Facebook and other digital giants have already voiced for the Metaverse (an embedded digital reality for starters), many major corporations are still struggling to replace their paper documentation. Workflow management is painfully offline-centric even to this date.

Cloud4C, the world’s leading automation-driven, application-focused managed cloud services provider, ensures the perfect transformation journey to being a data-empowered, intelligent enterprise. Migrate to the cloud at zero disruption to business as usual, optimize processes with leading hyper automation-RPA solutions for maximum ROI, modernize core assets (virtualization of legacy systems, infrastructure, computing resources, networks, servers, data centers, storage, platforms, third-party systems), and onboard advanced applications to digitize operations and workflows across all departments.

Embrace a full-stack data management suite including data collection, cleansing, monitoring, dataflow administration, data modernization, and deep information analysis. Augment data operations with advanced business intelligence (Deep Data Analytics + AI), proprietary platforms to generate smart insights for informed decision-making. Secure all databases, dataflows, data centers, and assets with Cloud4C’s advanced cybersecurity offerings and threat intelligence. Gain 24/7 data consulting and support to address any requirement, anytime.

Offerings: Optimize or Start your Data Analytics and AI adoption with Cloud4C

We can help you address all challenges that we stated above. Read on..
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Detailed, domain-specific assessment, consulting, and support to help integrate cutting-edge analytical processes with data modelling and designing
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Data Archival as per industry regulations for automated, efficient data profiling and data cleansing

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Streamline data collection, processing, and analysis from multiple sources and IT ecosystems to ensure a universal data architecture

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End-to-end data ingestion and management across all cloud landscapes. Deploy cloud-native data analytics and AI tools to modernize workflows of cloud and all connected landscapes

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Deploy advanced automation, RPA tools to optimize critical business processes and outcomes. Generate maximum benefits and least costs. Filter out redundancies or hyper-effective and optimized business processes in real-time.

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Utilize Big Data solutions to identify resource and cost-hungry processes, approaches, systems. Fix inefficiencies and improve productivity to reduce overall enterprise expenses

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Monitor and manage infrastructure health in real-time to prevent sudden outages and disasters

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Gain universal visibility to business functions, systems, processes, workflows, applications, and performances in real-time, via intuitive analytical dashboards and smart reporting. Smart insights served via a single pane of glass for informed decision-making

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Single SLA services up to application login layer, DevOps-based development, and testing frameworks

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Defined data engineering, data modernization, data ops project management and tool integrations with flexible choices of ETL tools and services

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Advanced static and dynamic dataflow monitoring, security with SIEM-SOAR, MDR, EDR, SOC, threat intelligence solutions

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Seamless AI and data governance - compliance with local, national regulations and industry standards, up to date methodologies

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Seamlessly address all infrastructure-networks, platform, data storage, and management concerns to deploy advanced AI solutions and services. Embrace ready-made models and libraries to deploy AI on-prem, across remote ecosystems, and edge environments.

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Automated management of your workloads with proprietary, novel intelligent solutions such as Self Healing Operations Platform, Universal Cloud Platform to accelerate data intelligent enterprise goals and strategies

What can you expect?

Optimize buyer journeys with proper segmentation and personalized campaigns, offerings. Boost conversions, customer acquisitions, and retentions.

Improve strategic and data-based decision-making across operations, supply, talent management, administrations, and more to help guide towards smarter and effective business approaches.

Embed contextual market and customer feedback to enable better quality offerings. For example, deploy advanced sentiment analysis and digital listening tools to gauge market sentiments and needs best.

Realise The New Potential With Our Data Analytics & AI Expertise

Talk to our experts