The world is moving into an era of smart machines and intelligent applications. Doing business in the digital age demands enterprises to be not just fast but also personalized in their customer connect. As companies churn enough and more data every day, decision-making in data-driven organizations will come from a blend of machine algorithms and human judgments.
Accion Labs keeps you ahead of the curve with plug-n-play of machine learning in your enterprise applications.
A self-learning behavior model, Machine Learning is helping enterprises future-proof legacy applications and leverage the power of Chatbots, Analytics, Visualization, Predictions etc to compete and keep pace with the new wave of intelligent applications. Automate data-driven decisions, gain niche customer insights, move away from data dump to data efficacy and predict the next island of business opportunity with machine learning.
Is your organization drowning in dark data pools? Unstructured, large data of text, images, tables, figures etc collected from internal and external sources - dark data has become a perennial menace for enterprises trying to harness big data for business advantage.
Accion Machine Learning as a Service (MLaaS) extracts valuable insights hidden in unstructured data to help you focus on what you do best - your business.
Our in-depth expertise in natural language processing (NLP) and machine learning techniques with a dedicated team of data scientists helps your organization with business intelligence by providing you real-time business-relevant data.
Extract business value from your data for real-time customer insights, brand analysis, sentiment analysis, market-friendly decisions, operational efficiency, and identify new market and customer opportunities with Accion Labs.
Who is using enterprise-grade machine learning for business and how does it impact their revenue gains? Our experts have rich experience across industries and provide you with deep industry-niche use cases and applications of machine learning. Read our industry case studies to know more about how to leveraging the power of analytics and creating business value with ML & AI.
Who can benefit from Artificial Intelligence / Machine learning ?
Wondering how to integrate machine learning into your business? At Accion, we understand the importance of users/customers for your business and revenue. Our data experts with hands-on experience across industry sectors will help identify the best strategy customized for your business and technology infrastructure. Our innovative customer-centric AI + ML approach helps you deliver a delightful personalized customer experience all along the user lifecycle from connection to acquisition, engagement and monetization stage. Capture every customer’s interest based on AI & data-driven offerings and increase the lifetime value (LTV) of every user with Accion.
So, what does it take to make machine learning work in an enterprise? Click to enlarge the components diagram
Looking to know more on the best practices recommended for getting started on machine learning? Talk to us for an exhaustive discussion on the latest trends and industry-specific strategies to get started on machine learning. At Accion, our approach involves a continuous feedback iteration process to efficiently manage complex data for faster & accurate insights.
Our enterprise-scale machine learning technology capabilities helps unlock the business value of your data to open new revenue opportunities.
Open Source Cross-Platform Machine Learning Tools
- Microsoft Cognitive Toolkit (CNTK)
- Scikit-learn, NumPy, Pandas etc
- Spark MLlib
Machine learning as Service on Cloud (MLaaS)
- Artificial Intelligence on Amazon Web Services.
- Microsoft Azure ML
- Google Cloud ML
- IBM Watson Cognitive Services
- Amazon Alexa
- Google Home
- Microsoft Cortana
- Facebook Messenger
Machine Learning - Deployment Infrastructure for Prediction Scaling
- Apache Hive - Analytics Engine
- Apache Spark - Streaming
- Apache Kafka - Streaming
- Apache Storm - Streaming
- Apache Alluxio / Ignite
- Amazon Web Services
- Google Cloud Platform
- Microsoft Azure
- Docker, Kubernetes
Predictive Modeling as a Services