Ever heard of Industry 4.0? A recent phenomenon in the industry sector is turning the trends to automation and exchanging information and data. With the rolling out of 5G and the enhancement of machines, wireless connectivity and minimal human contact seems around the corner. Some things that aid this technology are Artificial Intelligence (AI), Blockchain, the Internet of Things, Cloud and Cognitive Computing, and others.
With time, it will become standard for everyone to share their workload with an AI tool. This futuristic concept calls for more brilliant minds that bring innovative ideas and work creatively on the existing ones.
What the future of AI and Blockchain holds?
Let us look at a few ways Blockchain and Artificial Intelligence are meant to upgrade industries.
- Advanced privacy and security: Blockchain works well in storing and sharing data. This helps in securing sensitive information through encryption and prevents any form of tampering or unauthorised access.
- Secure data sharing: Such innovations assist organisations with pooling data without privacy infringement, like keeping records of patient’s medical history at hospitals. Good AI models and accurate comprehensive AI algorithms are needed for a task like this.
- Origin and integrity of data: The distributed ledger can bring advancements in areas like supply chains, healthcare, management and financial transactions where data integrity and provenance are crucial.
- Automation and smart contracts: Smart contracts replace physical contracts and automate transactions and agreements. This will reduce intermediaries and enhance efficiency. An example of this could be the vending machines where inserting money and clicking a button gets you the product.
- AI models decentralised: These reside on the network instead of a central server. Participating in this process can enhance the scalability and resilience of AI systems and democratise access to AI by offering them the opportunity to contribute computational resources and enhance AI systems together.
- Tokenisation and incentives: Blockchain technology’s token economy models are capable of incentivising data sharing, training AI models, and contributing computing resources to promote participation, foster collaboration, and create new economic ecosystems around Artificial Intelligence.
Research, technological advancements, and responsible implementation of blockchain and AI technologies will be needed to overcome scalability, energy consumption, regulatory frameworks, and ethical concerns. This only proves how the realm of Artificial Intelligence and Blockchain has much more to achieve and expand, requiring more brilliant minds at work.
Today, there are many ways to work in this field, but the most trusted is pursuing your degree with a Bachelor of Technology. Though there are various specialisations, a course in Blockchain and AI can offer the closest alignment to the industry.
Career in AI and Blockchain
Do you wonder where it could take you? Here are a few job titles that you could achieve after your graduation:
Artificial Intelligence
- Machine Learning Engineer: This involves developing and implementing machine learning algorithms and models. They also integrate machine learning models into applications and systems to enable automated decision-making and predictive capabilities.
- Data Scientist: Extracting insights and patterns from large datasets using statistical and machine learning techniques. They work closely with stakeholders to identify business problems, formulate hypotheses, and develop models to solve them.
- AI Research Scientist: They research to enhance AI technologies and develop new algorithms and models.
- Big Data Architect: They design and manage the infrastructure required to process, store, and analyse large volumes of data. They work on distributed computing systems, data storage technologies, and data processing frameworks to handle big data efficiently.
- Computer Vision Engineer: Advancing computer vision systems for image recognition, object detection, and video analysis tasks.
- AI Consultant: Their job is to provide expertise and guidance to organisations on implementing AI solutions in their operations. This includes strategy development, solution identification, data assessment and preparation and several other roles.
Blockchain
- Blockchain Developer: They specialise in building and maintaining blockchain applications. They write smart contracts, develop decentralised applications (DApps), and implement blockchain solutions. They work with blockchain platforms, such as Ethereum, Hyperledger, or Corda, and may also be responsible for integrating blockchain functionality into existing systems.
- Blockchain Solution Architect: Architects of blockchain solutions work with stakeholders to identify opportunities for blockchain adoption, develop the architecture of the blockchain system, and design the implementation of blockchain solutions for specific use cases or projects.
- Blockchain Project Manager: They are responsible for planning, organising, and overseeing the implementation of blockchain initiatives. They coordinate with different teams, including developers, architects, and stakeholders, and ensure that the project is delivered within budget, on time, and meets the set objectives.
- Blockchain UX Designer: The designer creates user-friendly and intuitive interfaces for blockchain applications and works closely with developers and stakeholders to design interfaces that deliver a seamless user experience, making blockchain technology more accessible and engaging.
As you know, these career paths are not exhaustive, and you may get other opportunities and roles within the Artificial Intelligence and Blockchain sectors. Furthermore, it is essential to note that both AI and Blockchain are used in tandem and that knowing both technologies can be helpful in certain situations.
The Tech courses available at the Yogananda School of AI, Computers & Data Science at Shoolini University can give impetus to an individual’s career in Artificial Intelligence, Computers & Data Science. Shoolini University holds a “Diamond Rating” from the prestigious world-ranking agency QS I-Gauge for the university’s Engineering programs. Students can explore the world of Data Analysis, Data Visualisation, Semantic Web, Deep Learning, Machine Learning, Data Security and Privacy, and Social Network Analytics.
Shoolini University offers 180 professional modules on advanced technology platforms for students and certifications in collaboration with IBM. The curriculum is supported by course material backed by organisations like Microsoft and AWS Academy.
A few engineering courses offered by Shoolini University are:
- BTech CSE Artificial Intelligence
- BTech CSE Blockchain & IoT
- BTech CSE Cloud Computing
- BTech CSE Cyber Security
- BTech CSE Data Science
- BTech CSE DevOps
- BTech CSE Game Design & AR/VR
- BTech CSE Mechanical (Robotics & AI)
The university also plays a valuable role in the all-around development of students, including frequent exposure to experts and encouraging nonscholastic activities. The admission criteria involve a student having cleared exams like CUET/NEET/JEE/ SAT or SU-SAT, which is Shoolini University’s entrance test. The Shoolini University BTech admissions are open. You can connect with the university to know more.
