Accelerate business growth with
enterprise AI solutions
CXOs are racing to implement AI but they must look beyond individual components
to grasp the full scope of their enterprise AI solutions. AI solutions act with greater
autonomy and reasoning than ever before. Missed data points, low-skill and a vague
strategy fails an AI initiative.
SERVICES
DataSlush Enterprise AI Solutions
AI Intelligent Agents
Getting output from an AI agent requires data management, training, designing prompts, experimentation, reasoning and certainty. This requires a lot of investment into skilled talent and technologies.
Generative AI Solutions
Tedious processes and manual steps can hurt customer base and revenue. Juggling through vast data and huge knowledge base can be eliminated. Generative AI’s ability to handle complexities of text, speech, visuals and code becomes a problem-solver for any use case.
AI and ML Solutions
Get rid of repetitive tasks and limited capabilities of your systems. High costs and low ROI stop businesses from upscaling and expansion. AI has evolved with machine learning, solving the production problem for running an AI model successfully.
AI Readiness Assessment
Get a comprehensive evaluation of how quickly you can implement AI in your organization. Explore feasibility of an enteprise AI solution.
AI Proof of Concept
Value driven approach to realise ideas and measure KPIs of an enterprise AI solution for your organization. Get DataSlush team to build a minimum viable solution.
DataSlush Artificial Intelligence Lab
Disrupt, Upscale and be Agile with Enterprise AI Solutions
Avoid big investments in terms of money, resources and time. Measure ROI and KPIs of enterprise AI solutions for your organization by creating a proof of concept with DataSlush. Leverage complimentary additional credits of Google Cloud AI platform.
Are you
Gen-AI Ready?
Organizations today need to ask: are we ready? We’ll help you assess, prepare, and develop a plan to implement GenAI in your organization. Create and realize GenAI proof-of-concept to validate use cases and maximize your business metrics.
Get in touch for AI Readiness Assessment of your organization
Avoid risk and save time by validating your understanding of what AI can do for you. Get your organization assessed on data maturity, feasibility, scope and use cases of an enterprise AI solution.
AI FOR INDUSTRIES
Enterprise AI Solutions for Industries
AI Schools
Student development is shunted because of lack of personalisation, inadequate student support, loss of interest and unclear fundamentals. Students get confused and fail due to late intervention, legacy teaching approach and absence of experiental learning.
AI and Manufacturing
Factories can’t maximise profits due to more wastage, high costs and erratic supply chain. Downtimes add to losses and are caused by breakdowns, abnormal state of machines and process failures. More wastage occurs due to inadequate quality checks, that results in reputation damage too.
AI-led Technology
Legacy systems still depend on human intervention to a large extent. Poor cutomer experience, manual work and lack of personalised experiences at a click results in churn and losses. It becomes a competitive disadvantage too.
AI USE CASES
Some of DataSlush Enterprise AI Solutions
Predictive Maintenance
Content Recommendation
Auto-grading
Assessments
Enterprise Search
Anomaly
Detection
Inventory
Optimization
Demand Forecasting
OUR EXPERTISE
Tech Stack
Here are some of the skills DataSlush team possesses. We have certified experts for most of the skills and we are Google Cloud certified partner.
AI Impact
Here is how AI has impacted DataSlush customers
Unlocking the Power of Content Marketing: Strategies for Success
April 26, 2024
Read More
April 26, 2024
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Mastering Social Media: Tips and Tactics for Business Growth
April 26, 2024
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April 26, 2024
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SEO Essentials: Boosting Your Website's Visibility and Rankings
April 26, 2024
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April 26, 2024
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Customer is a multi-national conglomerate that produces audiobooks. It is based out of the United States with operations in more than 20 countries across six continents.
- Lack of personalized recommendation
- Absence of mood-based recommendation
- Low user engagement
60%
Increase in CSAT Score
32%
Increase in Engagement Metrics
Customer’s search engines often struggle to effectively address complex search queries that involve multiple interconnected concepts, especially when dealing with diverse content types
- Identify and correlate
- Discover associated research paper
- Uncover datasets or experimental materials
50%
Increase in Productivity
30%
Increase in Accuracy
The customer found it tough to figure out important information from files like spreadsheets and PDFs. It consumes a lot of time, and sometimes, opportunities were missed. It also required technical know-how and it took a lot of effort as well. Sometimes, ending up not being able to find data or derive insights from the information that is found.
30%
Reduction in Dependency on Tech Staff
50%
Faster Decision-Making
FAQs
Frequently Asked
Questions
AI service covers a wide range of use cases that help businesses automate their repeated manual tasks. It can have different segments such as Chatbot and virtual assists, Image and Video recognition, Recommendation systems, Natural language Processing, Predictive Analytics
Depending on the organization’s business goals, AI offers different benefits such as cost reduction, efficiency improvement, time and effort savings, and task automation to name some. There is al-together a different goal of innovation too.
AI-as-a-Service (AIaaS) is a model where businesses use AI tools and solutions using cloud services without building them from scratch. Think of it as a Plug-and-play solution for AI. With AIaaS, companies can use pre-built models for tasks like image recognition, speech analysis, or customer sentiment tracking.
We follow a standard process for all AI services and solutions. It includes these steps in order - Understanding Requirements, Data Collection and Preparation, Model Selection and Training, Testing and Validation, Deployment, Monitoring and Maintenance.
Data will be used in Training Models and anonymization. Rest assured, data is stored on a Secure Storage and is under strict Compliance.
AI is the larger umbrella of creating machines or systems that can perform human-like tasks, such as reasoning, problem-solving, and understanding language whereas ML is a subset of AI that enables machines to learn from the historical data without being explicitly programmed.
