Cloud Computing: Expand the scalable computing power
Prerequisites for Data Science Must be in Cloud for :
-Data Preparation
-Model Planning
-Model Building
-Operationalise
With Cloud computing to avoid the issue as below:
Datasets are too large and will not fit into the development environment’s system memory (RAM) for model training or other analytics
The development environment’s processing power (CPU) is unable to perform tasks in a reasonable or sufficient amount of time, or at all for that matter
The deliverable needs to be deployed to a production environment, and possibly incorporated as a component into a larger application (for example, web application, SaaS platform, …)
It is simply preferred to use a faster, and more powerful machine (CPU, RAM, …) and not impose the necessary load on the local development machine
Summary of Data science
Large Chunk of Raw Data -> Find pattern > prediction > Best decision
Why is Data Science important
Asking the right questions
Perform exploratory study on the data
Model the data using various algorithms
Communicate and visualise the results via graphs, dashboards, etc.
To optimise operations. Minimal decision tree, and narrow down your selection to a few choices, ultimately, make a more informed final decision.
Applications of Data Science that obviously need fast decision and when decision making are purely based on data.
COVID-19 Brief: The role of data science, technology, and AI in infectious disease tracking
The Role of Social Media and Networking technology In Healthcare
Social media has become an integral part of many healthcare organisations’ marketing and communications strategies.
Such as : Each hospital / Drs has active FB/twitter/IG
And it is no longer optional. In order to engage with patients on the platforms they use the most, social networking and advertising are critical components of the overarching digital marketing strategy.
The Benefits of Social Media in Healthcare
Built Connections among Drs n Hospitals
Share Discoveries
Shares health alerts
Receive patient feed back
Creating trust
Challenge :
Patients privacy
Time constraints for Drs managing Social media posts
How data analysis, AI, and IoT will shape the post-pandemic ‘new normal’
How Technology help Post-pandemic ‘New Normal”
3 biggest technology expects
Data Analysis (Big Data)
AI
IoT / Robotic
The Data collected During-pandemic have helped to ease the arrangements below:
Community outreach– Apps or digital platform are built for the volunteer team to assist in disinfection and delivery supplies aided by digital community management and communication tools.
Supply-chain orchestration– help in manufacturing then logistics and healthcare supply chain efficiently with the data analytic
Location matching– limiting the Covid-19 transmission with the big data analytics and AI to estimate the probability that a particular individual was exposed to it.
Quarantine orchestration – Data helps human being to learn from the past of pandemic and for public health authorities with AI driven tools to plan and decide in order to slow outbreaks.
The IoT with the AI from the above Data Analysis helps on
Comprehensive biosensing – Accelerating the IoT with sensor which will be built into public infrastructure everywhere.
Remote medicine – Allowing the healthcare professionals to apply their talents to a large numbers cases over long distances.
Social distancing – applicable on each human wearable or smartphone to control it efficiently.
Some actual technology that helps in Post-pandemic for preparing Remote working space
With all the technology and vision in place , post pandemic world will have all the infrastructure of AL, cloud computing , and the Internet of things to help public health infrastructure to fight with the dread deceases that threaten us all.
Self-service health screening: Self-service screening tools have reduced nonessential hospital visits and caregiver workloads
Community outreach: China’s digital platforms allow volunteer teams of community residents to assist in disinfection and deliver supplies aided by digital community management and communication tools
Remote medicine: Digital technologies have allowed China’s healthcare professionals to apply their talents to a large number of COVID-19 cases over long distances.
Supply-chain orchestration: China has used these same technologies, along with the Internet of Things, to rapidly orchestrate an entire manufacturing, logistics, and healthcare supply chain
Location matching: Location-specific response to limiting COVID-19 transmission. It uses big data analytics and artificial intelligence to estimate the probability that a particular neighborhood or individual was exposed to COVID-19. It matches the locations of smartphones to known locations of infected individuals or groups. It uses this information plus travel data to target government-mandated virus testing to high-risk individuals.
Counter-contagion nerve centers: In the new normal, most nations will institute counter-contagion nerve centres to coordinate societal responses to these threats.
Quarantine orchestration: Painfully, the human race is learning from the COVID-19 crisis how to manage the quarantines, lockdowns, and closures that will be necessary in all future pandemics. In the future, public health authorities will use AI driven tools to rapidly plan and orchestrate these decisions in order to slow outbreaks while keeping the economy from crashing and minimizing community disruptions. The dashboard will give every person data-driven intelligence on how to adjust daily routines, based on conditions that currently impact their immediate environment.
Social distancing: Going forward, we’re likely to see governments mandate AI-driven solutions for keeping people out of range of those who might be spreading infection. Proximity sensors will become ubiquitous in the aftermath of the current pandemic.
Comprehensive biosensing: The COVID-19 emergency is accelerating the Internet of Things’ sensor revolution, and there’s little doubt that much of this will be built in to public infrastructure everywhere.
Putting this vision in place in the post-pandemic world will require a pervasive infrastructure of AI, cloud computing, streaming, and the Internet of Things. Managed as a common public health infrastructure, these capabilities will allow humanity to close ranks against the dread diseases that threaten us all.
