View data and artificial intelligence Entry-level jobs below.
Vesti is the preferred platform for humans going global. Humans are on the move, but financial services are fragmented and cumbersome. The Business Development ...
HR-EX Consulting provides affordable HR services and advisory to micro, small and medium enterprises. In short, we provide HR services to small businesses ...
We are a Total Real Estate Solutions Company with operations in more than 10 African Countries and certified to international standards (ISO 9001:2015) by ...
The International Red Cross and Red Crescent Movement is the largest humanitarian network in the world. Its mission is to alleviate human suffering, protect ...
MacTay Consulting has been in existence for over 28 years in Nigeria. We are a member of TACK and TMI, international consulting companies operating in over 60 ...
MSH, a global health nonprofit organization, uses proven approaches developed over 40 years to help leaders, health managers, and communities in developing ...
Eden Solutions & Resources Ltd is a human resource management company that provides its client with best practice business management solutions. Registered ...
Poverty does more than exhaust, starve, trap and kill people. It destroys their sense of worth, limits their horizons, robs people of the chance to reach their ...
The Danish Refugee Council (DRC) is a humanitarian, non-governmental, non-profit organisation founded in 1956 that works in more than 30 countries throughout ...
PricewaterhouseCoopers (PwC) helps organisations and individuals create the value they’re looking for. We’re a network of firms in 157 countries ...
With origins in Group Catair in 1996, and founded by its Co-CEO’s Olivier Sadran and Jonathan Stent-Torriani in Toulouse (France), Newrest is today a ...
Health and Development Support Programme (HANDS) is a homegrown Non-Governmental Organization that is officially registered in Nigeria. It was founded in 1995 ...
FairMoney is a digital platform in Nigeria that allows you access instant loans in a few minutes through our android app.About the role You will be working as ...
ipNX Nigeria Limited is a leading provider of infrastructure-based Telecommunications and Information Technology services here in Nigeria. Leveraging more than ...
The Danish Refugee Council (DRC) is a humanitarian, non-governmental, non-profit organisation founded in 1956 that works in more than 30 countries throughout ...
M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our ...
Big data is a combination of structured, semi-structured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modelling and other advanced analytics applications.
Systems that process and store big data have become a common component of data management architectures in organizations, combined with tools that support big data analytics.
Also, big data is often characterized by the three V's:
the large volume of data in many environments;
the wide variety of data types frequently stored in big data systems; and
the velocity at which much of the data is generated, collected and processed.
Big data has become relevant in almost every field and industry. Currently, companies use big data in their systems to improve operations, provide better customer service, create personalized marketing campaigns and take other actions that, ultimately, can increase revenue and profits. Businesses that use it effectively hold a potential competitive advantage over those that don't because they're able to make faster and more informed business decisions.
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.
This AI system works by ingesting large amounts of labelled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states.
AI programming focuses on cognitive skills that include the following:
Learning. This aspect of AI programming focuses on acquiring data and creating rules for how to turn it into actionable information. The rules, which are called algorithms, provide computing devices with step-by-step instructions for how to complete a specific task.
Reasoning. This aspect of AI programming focuses on choosing the right algorithm to reach a desired outcome.
Self-correction. This aspect of AI programming is designed to continually fine-tune algorithms and ensure they provide the most accurate results possible.
Creativity. This aspect of AI uses neural networks, rules-based systems, statistical methods and other AI techniques to generate new images, new text, new music and new ideas.
AI is important for its potential to change how we live, work and play. It has been effectively used in business to automate tasks done by humans, including customer service work, lead generation, fraud detection and quality control. In a number of areas, AI can perform tasks much better than humans.
Big data and artificial intelligence have a synergistic relationship. AI requires a massive scale of data to learn and improve decision-making processes and big data analytics leverages AI for better data analysis.
With big data AI-powered analytics, you can empower your users with the intuitive tools and robust technologies they need to extract high-value insights from data.
By bringing together big data and AI analytics technology, companies can improve business performance and efficiency by:
Anticipating and capitalizing on emerging industry and market trends.
Analyzing consumer behaviour and automating customer segmentation
Personalizing and optimizing the performance of digital marketing campaigns
Using intelligent decision support systems fueled by big data, AI, and predictive analytics
Generally, AI makes big data analytics simpler by automating and enhancing data preparation, data visualization, predictive modelling, and other complex analytical tasks that would otherwise be labour-intensive and time-consuming
Data Scientist: A data scientist is responsible for analysing and interpreting complex data to find patterns and insights that can help organizations make better decisions. They need to be skilled in programming, data analysis, and machine learning.
Data Analyst: A data analyst is responsible for collecting, cleaning, and analyzing data to identify trends and insights. They need to be skilled in statistics, data visualization, and programming.
Machine Learning Engineer: A machine learning engineer designs and implements machine learning algorithms and models to automate tasks or create predictive models. They need to have strong programming skills and knowledge of statistics and mathematics.
Business Intelligence Analyst: A business intelligence analyst uses data to help organizations make informed decisions. They analyze data to identify trends and patterns, and then create reports and visualisations to communicate insights to business leaders.
Data Engineer: A big data engineer designs and implements large-scale data processing systems using technologies such as Hadoop and Spark. They need to have strong programming skills and knowledge of distributed computing.
Data Architect: A data architect designs and maintains the architecture of data systems. They need to have a deep understanding of data modeling and database design.
Data Mining Engineer: A data mining engineer develops and implements algorithms to discover patterns and insights in large datasets. They need to be skilled in programming and machine learning.