(LSJ) Begin a New Career with us

Begin a New Career and do your best work with us.

Lifetime Group offers advisors and consultancy you can trust. We can offer 16 Cloud Ready Teams from 50 Skills from Cloud Computing including AI App Specialists.

Corporate customers can help with Digital Strategy including Cloud, Data-Driven Strategy including Streaming, Analytics and SEO.

AI with Management Accounting, AI based HR Machine.

Lifetime Group's Partnership AWS is offering possibility to begin career as AWS Developer or AWS Architect. Contact us if you want to begin training and become our AWS Technical Expert.

We are also looking Sales Assistant that can deliver to our Sales pipeline and advance our Cloud Outsourcing Sales.

We are using Open Leadership Model.

All our Business Processes are built and managed on Atlassian JIRA.

Courses are held around the Europe. Finnish in-class training begin in February 2020.

Thank you of being a lifetime friend !

#devops

(LSJ) What is Data Science Platform?

When building teams

Market Definition/Description

Data Science Platform definition

A cohesive software application that offers a mixture of basic building blocks essential for creating all kinds of data science solution, and for incorporating those solutions into business processes, surrounding infrastructure and products.

Artificial intelligence (AI) is hyped:

Hype about AI is at its peak, but AI must be distinguished from data science and ML. Of course, data science is the core discipline for the development of AI, and ML is a core development of AI, but this is not the whole story. ML is about creating and training models; AI is about using those models to infer conclusions under certain conditions. AI is on a different level of aggregation to data science and ML. AI is at the application level.

Data Science and ML models must be combined to work together with other capabilities, such as a UI and workflow management, to constitute an AI Application.

The Report finds variety of audiences to data science and ML platforms (modified):

• Citizen data scientists who are accessing (open) data and building data science and ML models. They come from roles such as business analyst, line of business (LOB) analyst, data engineer, and application developer.

• LOB data science teams who address initiatives in areas such as digital marketing, risk management, Customer Engagement Management.

• Corporate data science teams who have strong executive sponsorship, and can take a cross-functional approach. They do model building and end-to-end process for building and deploying data science and ML models.

• Star (Mavericks) Data Scientists. The Python, R, Apache Spark Gurus.

(Gartner Report Magic Quadrant for Data Science and Machine Learning Platforms, published 28 January 2019 ; by Analysts Carlie Idoine, Peter Krensky, Erick Bretheneoux, Alexander Linden).

(LSJ) How to secure your data on cloud?

1. Business : How to secure your multiple cloud storage accounts and data and use end-to-end file encryption on email?

2. Work: How to secure your Team files with encryption and share it in G Suite and Office 365 or iCloud?

3. Sales: How to secure contracts and other confidential material when using email attachment? One EU ready solution is to get Boxcryptor for Business!

Try it yourself: https://www.boxcryptor.com/app/referral/?code=AluVvouxQoopMc74

(LSJ) Everyone wants to just focus on business logic

AWS re:invent Keynote with Werner Vogels, CTO, Amazon.com

API Gateway gets Websocket Support

ALB Support for Lambda