We are undergoing a profound transformation in the way we function. Automation and 'thinking machines' replace human activities, altering
the abilities that companies pursue within their employees. But what
will become of the future?
It's not a time to sit back and wait to see things unfold. You must recognize it, to be prepared for the future.
Digital technology reinvents how we operate, but not as you can think. More than replacing individuals, it makes them more important than ever — a win-win for the future workforce.
In this new age of relation between man and machine, companies need to develop their approach. Learn how to build data-driven strategies to maximize the full resource ecosystem at your disposal, from robotics and AI to employees and adaptive talent.
Via on-demand interactive learning opportunities and other personalized services, we will assist you in constantly reviewing, retraining, and developing the employees to lead now and in the future.
This entry level support provides the customer access to a dedicated Hadoop help-desk equipped to handle technical incidents. Resolutions/solutions are delivered according to a determined Service Level Agreement. This support service can cover Hadoop (Hive, Hbase, Sqoop, Kafka,).
Level II provides monitoring, tuning, patching, backups and the general health of the Hadoop system. Help-desk support is provided for incidents that may occur throughout the working day. As with Level I, Teceze can offer this service for many distributions including MapR, Cloudera, Hortonworks.
Level III takes the comprehensive managed service provided by Level II and extends the hours of coverage to 24×7 for critical issues. This is ideal for organizations whose system is business critical and 24-hour availability is the key.
Teceze will provide end-to-end Hadoop proof of value to include distribution deployment, data loading, creation of prototype pipelines, testing, and fine-tuning, and delivery of documentation and test results. Our consultants will work with your team to deploy a Hadoop production pilot project, a tuned and tested restricted scope production pilot cluster, and finally, a production-ready framework, providing full reports on the ongoing cluster operations and maintenance procedures.
Business leaders should consider developing a potential workforce in which humans and smart machines work together to improve efficiency, creativity, and growth.
Allocate jobs to people and machines, thus balancing increasing trends and automation. Develop project-based teams, and map skills to build new tasks.
Organize to generate new ways of interest for agility. Develop flexible structures and handle the workforce to support core business as well as a new business.
Prioritize skills, balancing technical, judgmental, and social skills. Cater to the willingness to learn and to accelerate the VR, AR, and AI training.