Here are the Movies on Data Science One Must Watch

Data science and machine learning are strong technologies that are changing the world in manners that sometimes appear to be right out of a science fiction picture. Today’s robots are capable of not just performing mundane jobs, but also of performing difficult calculations to determine how to design a course for a rocket to follow or generating weather predictions based on past data.

What better medium to investigate the enigmas of data science and machine learning than movies?

Ex Machina

The title is derived from the Latin phrase “deus ex machina,” which means “god from a machine.” Caleb, a developer for one of the global highest internet firms, is chosen to take part in the century’s greatest experiment in the film. What part does he play? To create an artificial intelligence system from the ground up utilising personal information obtained from social networking sites. This film explores humanity’s privacy rights while also demonstrating the potential of machine learning and natural language analysis.

Minority Report

In most cases, current data is utilised to extrapolate additional knowledge, but this is not the case in “Minority Report.” Instead, PreCogs, a group of people with psychic powers, supply the police with information on who, where, and when crimes occur, as well as their perpetrators. The PreCrime police unit will use training trends to pin down the finer elements of a crime in an attempt to prevent it, using graphical data and information supplied by these PreCogs. The value of data science is emphasised as a result of this.

21

The fact is that science is not by nature an “evil” instrument; rather, it may be moulded to the desires of its users. The film “21” delves into the arithmetic and physics of card counting as well as Las Vegas casinos. The film recounts the actual tale of how six MIT students were capable of taking Nevada casinos for millions of dollars using cryptic talk, hand gestures, and a sharp eye.

The Imitation Game

Alan Turing, often regarded as the “Father of Modern Computer Science,” is credited with “cracking the conundrum” as a mathematician. The Enigma was a major element of the Nazi tactic to safely hide essential information in plain sight, and it has been used by the Germans to encrypt their transmissions. Turing devised a rudimentary computer that could examine all possible permutations at a quicker rate than any person. This aided the Allied troops in securing victory. In reality, this film not only tells the tale of Turing’s thinking, but also recounts the process of constructing the first computer of its sort, giving birth to not just programming and machine creation, but also encryption and cybersecurity.

Moneyball

As “Moneyball” demonstrates, predictive analysis is extremely powerful. Billy Beane, the general manager of the Oakland Athletics, must find a method to recruit fresh players on a limited budget in order to construct a successful club. He accomplishes this through the use of computer-generated past data analysis and predictive modelling, resulting in the creation of a champion baseball club with little to no further financial help.

Margin Call

There is no such thing as a technological bubble. Thousands of diverse elements influence and are influenced by it, which may be harmful, especially when technological flaws and problems emerge. In “Margin Call,” the degree of technology’s effect on our lives is examined in further depth. Junior risk analysts discover that a flaw in the modelling techniques they employ has led to their investment business investing in the wrong items and ending up on the verge of the financial calamity in the initial stages of the financial crisis of 2008. What appears to be a little blunder can have far-reaching consequences for millions of people and this isn’t limited to financial experts. An economic catastrophe like this, which is created by the wrongdoings of both human and machine employees, can have far-reaching consequences for ordinary people.

A Beautiful Mind

The Oscar-winning film “A Beautiful Mind” is well known for its portrayal of John Nash, an economist Nobel laureate. His ground-breaking work on game theory transformed the field of economics by introducing a novel technique of utilising mathematics to analyse complex interplay between zero-sum games. Despite the fact that Nash himself struggled from Schizophrenia before his historic exploration of odd hallucinations during his life, up until his death in 2015, his work has been widely utilised in the computer science field, among others, radically altering the game.

I, Robot

A cop is dispatched to investigate a crime suspected to have been committed by a robot in the year 2035, a circumstance that might pose an even greater threat to mankind. This computing system, known as VIKI, or Virtual Interactive Kinetic Intelligence, utilises data collected from all over the world as well as its own terrifying computational powers to consider taking over the world’s robots only to be stopped by a technophobic police officer and an accommodating robot he meets along the way. The scary potential of computers taking control gets dangerously close to becoming a reality, offering the viewer a look into this terrifying scenario.

Her

Some people’s fantasy, or perhaps dread, is to fall in love with a robot. In the film “Her,” a solitary writer has a genuine bond with his new operating system, which is tailored to his every need. This sophisticated operating system is able to learn and change via experiences by incorporating the characteristics of the programmers that contributed to its development. Smart Operating System Samantha, employs predictive analytics and programming, and it is up to the audience to choose if “her” goals and intents are for the good or for the worst.

WarGames

People have long been captivated by strategy games, especially when they are set in a time of upheaval and conflict. In the film “WarGames,” a young guy enters a top-secret military system through the side door. He plays it seriously, mistaking it for a warfare strategy game, only to nearly ignite World War III. Furthermore, this supercomputer is set up to collect data from all around the world and utilise predictive modelling and simulations to build a “game-like” environment for the young guy to “play.”

Conclusion

Humanity’s use of seemingly cold and uncaring robots to carry out our commands continues to amaze us. Apparently, their films have a sense of mystery and intrigue because of their science-fiction-like attention to today’s ambitions and tomorrow’s reality. In any event, the application of these technologies is a hot issue, and many elements of data science and machine learning are and will continue to be revealed through these films.

The post TOP MOVIES ON DATA SCIENCE appeared first on Artificial Intelligence.

Data and analytics are being used every day in businesses to drive transformation and efficiency and generate accurate insights for greater revenue. The impact of data science reaches far and beyond the IT industry and is solving some of the most pressing issues in other industries. In healthcare, defense, and education, data science technologies have to revolutionize traditional business operations.

This article provides a list of the top data science companies’ funding and investments to look out for in Q2 of 2021.

Edge Delta

Amount Raised: US$15M

Transaction Type: Series A

Key Investor(s): Menlo Ventures, Amity Ventures, and others

Edge Delta is a stream processing platform for observability, predicting, and detecting anomalies in operational and security data. The company allows enterprises to use a network of analytics to identify and remediate potential DevOps, IT, operational, and security incidents more accurately.

Vianai Systems, Inc.

Amount Raised: US$140M

Transaction Type: Series B

Key Investor(s): Softbank Vision Fund, 5square, and others

Vianai provides artificial intelligence solutions to its clients. The company aims in defining, maintaining, and delivering different software for industry leaders. It envisions empowering millions of its clients to build machine learning applications and solutions to reach new heights.

Pensa Systems

Amount Raised: US$11M

Transaction Type: Series A

Key Investor(s): ATX Venture Partners, Circle K Ventures

Pensa Systems is a provider of autonomous perception systems for retail inventory visibility. The company has created a platform that allows drones to monitor the shelves and alert the retailers in real-time when the product is out of stock or reloaded.

PlanetWatchers

Amount Raised: US$3.4M

Transaction Type: Seed

Key Investor(s): Seraphim Capital, Creative Ventures, and others

PlanetWatchers provide SaaS solutions for enterprises, governments, and NGOs to monitor their natural assets across the world. Their advanced geospatial technology combines machine learning algorithms, cloud infrastructure, and multi-source satellite sensors to provide critical information for efficient management.

The post TOP DATA SCIENCE FUNDING’S AND INVESTMENT TO WATCH OUT IN Q2 2021 appeared first on Artificial Intelligence.

Building upon years of momentum, architects are well in the swing of transitioning from the monolith to microservices. Here are three of the top trends they’ll face in 2021.

Throughout 2020, application architects sought new design methods and tools to help ease the transition from the monolith to a distributed architecture design — and they’re not done yet. Specifically, they are looking to solve issues surrounding consistency in distributed service management, incremental migration to microservices and service granularity.

Let’s take a closer look at some of these distributed architecture trends and examine how these shifts will affect the development landscape in 2021, including the microservices design patterns and tools that are top-of-mind for architects.

The modular monolith reigns

Despite the flexibility and scaling benefits associated with microservices, this type of architecture imposes significant hurdles upfront — specifically regarding observability, inter-service communication and complex deployment cycles. As such, architects must find a way to pursue microservices design patterns while still maintaining the dependability of their existing monolith. In 2021, architects will continue to pursue the modular monolith and establish bounded context by segmenting code, limiting dependencies and isolating data stores. This allows them to introduce the desired cohesion and loose coupling found in microservices, but avoid the headaches of managing multiple runtimes and asynchronous communication.

Loose coupling becomes essential

While a microservices design patterns demand a granular separation of services and responsibilities, development teams continue to apply traditional MVC patterns that demand tight component coupling. To successfully introduce distributed architecture design, more architects should make an effort to implement hexagonal architecture patterns in 2021. This pattern allows developers to create coarse-grained services that can gradually parse individual functions into individual services, but uses proxy components to spawn these services without affecting the underlying process logic.

Distributed services, centralized management

Teams that manage distributed systems must spend considerable time repetitively performing the same management tasks for hundreds of services, such as deployments, monitoring, logging and versioning. In an effort to eliminate waste, it’s likely that teams will increasingly adopt service templates and scaffolding tools in 2021. The hope is that these tools will promote coherence across collections of microservices by providing preconfigured service designs and enforcing standardized management practices.

The post Microservices design patterns and tools to watch in 2021 appeared first on Artificial Intelligence.