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.
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.
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.
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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.
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.
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.
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.
Customer’s search engines often struggle to effectively address complex search queries that involve multiple interconnected concepts, especially when dealing with diverse content types
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.
DataSlush is a Data & AI consulting and research company – that provides Full Stack Data & AI solutions comprising Data Science, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, and Artificial Intelligence. DataSlush guides you at every step of the way to optimize operations, enhance customer experiences, or unlock new revenue streams.
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