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MongoDB.local Bengaluru - September 12, 2019
Business/Use Case [clear filter]
Thursday, September 12
 

2:40pm IST

Building Apps in Minutes Using MongoDB Stitch [Halaplay & MongoDB]
In this session, we will dive into how MongoDB Stitch can be used to make developers' lives easier, removing the need for writing and maintaining boilerplate back-end services, and having to manage and scale back-end servers. In this session, Halaplay will speak about how they are using MongoDB Stitch to develop new apps/functionality within minutes rather than weeks.

Speakers
SS

Shubhanshu Singh

CTO, Halaplay


Thursday September 12, 2019 2:40pm - 3:20pm IST
Grand Ballroom A

4:30pm IST

High Availability and Happy Ops with MongoDB Atlas [Darwinbox]
Every service owner is expected to comply with SLO according to business requirements and expectations. But with increasing data and ever-increasing transactions how do we ensure linear scaling while adhering to committed uptime?  Darwinbox is a 4-year-old HRMS platform growing at 10X every year and is serving more than 500k users across the globe today. MongoDB Atlas is one great solution that worked at Darwinbox to achieve scale with stability. In this session, we will take a look at how MongoDB Atlas contributed to Darwinbox's growth.

Speakers
PA

Prithvi Alluri

Advisor to Darwinbox


Thursday September 12, 2019 4:30pm - 5:10pm IST
Grand Ballroom A

5:20pm IST

Put Your Data to Work [IBM]
Businesses have entered the most rapid period of technological change in history, and artificial intelligence (AI) is on the cusp of revolutionizing the entire workforce. According to the World Economic Forum report on The Future of Jobs, in 2018, 29% of the tasks are handled by machines across 12 industries. By 2022, 42% of all tasks and 62% of organization’s information and data processing and information search will be handled by machines and algorithms. This is a radical shift in just four years.

The journey to AI is through a well-crafted information architecture. The vast majority of AI failures are due to data preparation and organization, not the AI models themselves. Success with AI models is dependent on achieving success first with how you COLLECT your data. You need to establish a strong foundation of data, making it simple and accessible, regardless of where that data resides. To help customers manage and gain insights from many data sources or a hybrid, multicloud environment, IBM has accelerated integration of end-to-end scenarios with Cloud Pak for Data with the MongoDB Enterprise Advanced. The integration with MongoDB also addresses challenges around developer experience, insight activation and application management.


Speakers
AK

Anup Kumar

Chief Solution Architect, Data & AI, Asia Pacific, IBM


Thursday September 12, 2019 5:20pm - 6:00pm IST
Grand Ballroom B
 
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