(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) Lifetime Group joins 5G Network Finland ; is open for new projects and partnerships

Hello Lifetime Friends, exciting news !

5G network is opening this spring in Finland. Our partner Telia Company has released new 3,5 gHz network in Oulu couple of weeks ago. In Finland, we are using the same bandwidth as many other countries.

The 5G development opens up new markets and a global ecosystem on devices and services that are 5G standard based. We saw many new openings of 5G devices and smart phones in Barcelona Mobile Congress.

IoT based on 5G solutions create business capabilities that makes it easy eliminating redundant work phases and optimize running costs, they transform and automate daily operations while improving competitive advantage.

5G based AR / VR is creating completely new business concepts and service models. 

“Lifetime Group and its Partners are available for 5G / IoT ecosystem device and application development. We have over 40 different digital roles and more than 20 Cloud Ready Teams built to launch and support all kind of 5G/IoT projects”

Risto Anton, Director, Lifetime Group.

More information:

Risto Anton

risto.anton@lifetime.fi


  • Ericsson has publicly announced 5G deals with 10 named service provider customers. The company is currently rolling out 5G networks in the US, Europe, Asia and Australia

(LSJ) Lifetime Classification of Consultants

IDC asked me for salary study our classification of Consultants and their payment expectations for 2019. Here is our Classification of Consultants for Secure Managed Sourcing.

1. Consultants (skills level 2,3,4)

Installation & administration of hardware, operating systems, Microsoft office 365 / G Suite software Administration, implementing security solutions on desktop, servers and LAN. Support of hardware, operating systems and office-software, troubleshooting and repair. Any new consultant is in this category before clearing Cloud Ready Teams Certification Program. Quality Assurance.

2. Developers (skills level 2,3,4)

1-3 years of experience

3-5 years of experience

5+ years of experience

of Coding,  test automation,  Applications Production, DevOps. 10 Programming languages.

3. Technical Project Managers

Thorough competence within a specific area. For instance JIRA, SAFe, cloud computing, networking, security, Linux. The specified person has a long experience and thorough technical understanding – but not a broader approach toward the solutions. System integrator specialists (Mulesoft, Openshift), system designers within a specific solution. Technical Project managers.

4. Cloud solutions architects

Cloud Solutions Architects cover a broader area, for instance combining server, network and application knowledge to design the overall infrastructure. Capable of creating requirement specifications based on for instance workflow descriptions etc. Senior project managers, large projects.

5. Senior consultants

Combining technical and smart business comprehension (not management consultants). Competence in organizational analysis combined with a technical understanding – the business part of cloud solutions architects. IT estimation, risk estimation, business continuity analysis – from a business and an IT perspectives.

6. Strategic Advisors

Management consulting. Advisor level. Strategy formation. Cloud Strategies. Please contact us.

(LSJ) Predicting the future ; alustataloudesta älytalouteen

Exponential Laws of Computing Growth or Moore's law predicted in a forecasting exercise that

  • Mr. Gordon Earle Moore, co-founder of Intel, plotted data on the number of components—transistors, resistors, and capacitors—in chips made from 1959 to 1965. He saw an approximate straight line on log paper. Extrapolating the line, he speculated that the number of components would grow from 26 in 1965 to 216 in 1975, doubling every year. His 1965–1975 forecast came true.
  • Moore's Law is one of the most durable technology forecasts ever made.10,20,31,33 It is the emblem of the information age, the relentless march of the computer chip enabling a technical, economic, and social revolution never before experienced by humanity.

Mitä on alustatalous?

1. Digitalisointi luo liiiketoiminnan muutosmahdollisuuden asiakasarvon tuottamiseen. Virtaava Data on digitalisoitavan | automatisoitavan liiketoiminnan raaka-ainetta. Todellisen ja digitaalisuuden yhdistelmät luovat arvoa ja synnyttävät uusia tuoteinnovaatioita.  Runsaiden datavirtojen synnyttävien eksponentiaalisesti kasvavien tietovirtavarantojen luomia (AI) tekoälyinnovaatioita ja globaalisti skaalautuvaa kasvuliiketoimintaa.

Tietovarantoihin ja alustoihin perustuvaa liiketoimintamallia kutsutaan alustataloudeksi. Viisi suurinta alustatalousfilosofiaa noudattavaa yritystä vuonna 2016 olivat Apple Corporation, Alphabet Corporation, Microsoft Corporation, Amazon, sekä Facebook. 

Mitä on älytalous?

Alustatalouden pohjalle syntyviä liiketoimintamalleja. Singulariteetin muodostamia uusia tuotteita ja palveluja. Tuotteet perustuvat tekoälyyn ja jatkuvan virran (data streams) tietovarantoihin, ja palvelut rakentuvat näiden tuotteiden varaan.