Digital Times Nigeria
  • Home
  • Telecoms
    • Broadband
  • Business
    • Banking
    • Finance
  • Editorial
    • Opinion
    • Big Story
  • TechExtra
    • Fintech
    • Innovation
  • Interview
  • Media
    • Social
    • Broadcasting
Facebook X (Twitter) Instagram
Trending
  • Konga Yakata, Nigeria’s Biggest Indigenous Shopping Festival Set To Return
  • All Set For GOCOP 2025 Annual Conference Focused On Nigeria’s Governance Realities
  • Google Gives African Varsity Students Free Access To AI Tools
  • DPI, Verod Capital Face Shareholder Rights Suit Over Pan African Towers Deal
  • Futurex Partners Spire Solutions For Enterprise Encryption Delivery Across Middle East & Africa
  • BREAKING: Nnaji, Nigeria’s Minister Of Innovation, Science & Technology, Resigns Amid Certificate Forgery Scandal
  • Forget The Career Ladder, Build A Web
  • 2025 Digital Nigeria International Conference & Exhibition Date Announced
Facebook X (Twitter) Instagram
Digital Times NigeriaDigital Times Nigeria
  • Home
  • Telecoms
    • Broadband
  • Business
    • Banking
    • Finance
  • Editorial
    • Opinion
    • Big Story
  • TechExtra
    • Fintech
    • Innovation
  • Interview
  • Media
    • Social
    • Broadcasting
Digital Times Nigeria
Home » AI-Driven Software Systems
Blog

AI-Driven Software Systems

DigitalTimesNGBy DigitalTimesNG29 July 2022No Comments3 Mins Read5K Views
Facebook Twitter Pinterest Telegram LinkedIn Tumblr WhatsApp Email
Software
Oyegbile Oluwabukunmi Rufus
Share
Facebook Twitter LinkedIn Pinterest Telegram Email WhatsApp

Today’s software is smart. It learns by analyzing how we interact with it to streamline processes and provide us with personalized interactions.

This comes from using artificial intelligence and machine learning, which are now key to how software is made. It means we need engineers who are skilled at software development and work with data effectively.

Many engineers are skilled at building the features users interact with, but AI requires a distinctive approach.

It requires an operator who can integrate data science with real-life scenarios. That’s where OYEGBILE OLUWABUKUNMI RUFUS comes in. He’s a senior software engineer who’s great at building AI-driven systems. He designs the framework that makes a product more responsive.

A major aspect of Rufus’ work is MLOps, or Machine Learning Operations. He recognizes it’s hard to get a model from the data scientist’s personal device to a production environment. MLOps is about handling everything about a machine learning model, starting with data acquisition to sustaining its accuracy.

Rufus creates the automated procedures that keep models up-to-date and functioning effectively without needing someone to handle it manually.

In order to enhance user experience, Rufus works on systems like recommendation engines. These systems handle large amounts of data in real time to suggest products, content, or connections.

A major aspect of Rufus’ work is MLOps, or Machine Learning Operations. He recognizes it’s hard to get a model from the data scientist’s personal device to a production environment.

For example, for a streaming service, he builds the component that processes user viewing history and quickly suggests programs that align with their preferences. This requires a good understanding of databases and high-speed computation.

READ ALSO  AI Fast Becoming Study Companion For Nigerian Students, Fresh Google Search Trends Reveal

Rufus also builds intelligent automation systems. These systems use AI to handle tasks formerly executed manually.

This could be a system that checks user content to find inappropriate material or a tool that sorts customer support requests by how urgent they are. These systems enhance effectiveness and improve the user experience by handling routine tasks automatically, allowing people focus on more complex work.

Rufus integrates engineering and product strategy. He understands that a product manager’s idea for an AI feature must be feasible from a technical perspective.

He helps product managers figure out what’s realistic when it comes to data, model accuracy, and how much effort it will take to build an AI feature. He also makes sure these systems are built grounded in ethical principles, balancing business goals with equitable considerations and transparency.

Oyegbile Oluwabukunmi Rufus‘s work shows that engineering leadership is key. By building solid, scalable systems, the products he creates are both new and built for lasting growth. He shows that the best products have strong, forward-thinking engineering behind them.

#AI #Oyegbile Oluwabukunmi Rufus #Software Systems
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
Previous ArticleBahrain Is Global Leader In Internet User Penetration- Report
Next Article NCC Has Committed Over N500m For Research In Nigerian Varsities- Danbatta
DigitalTimesNG
  • X (Twitter)

Related Posts

Forget The Career Ladder, Build A Web

7 October 2025

Nigeria Charting Own Path To Global AI Leadership, Says NITDA DG

4 October 2025

Who Will Lead In An AI-First Future?

1 October 2025

Nigerian Businesses Must Embrace AI In The Future Of Work

12 September 2025

AI Fast Becoming Study Companion For Nigerian Students, Fresh Google Search Trends Reveal

10 September 2025

Zoho Reports 75% Customer Growth In Nigeria As Firms Lead On AI And Privacy

9 September 2025

Comments are closed.

Categories
About
About

Digital Times Nigeria (www.digitaltimesng.com) is an online technology publication of Digital Times Media Services.

Facebook X (Twitter) Instagram
Latest Posts

Konga Yakata, Nigeria’s Biggest Indigenous Shopping Festival Set To Return

9 October 2025

All Set For GOCOP 2025 Annual Conference Focused On Nigeria’s Governance Realities

9 October 2025

Google Gives African Varsity Students Free Access To AI Tools

9 October 2025
Popular Posts

Building Explainable AI (XAI) Dashboards For Non-Technical Stakeholders

2 May 2022

Building Ethical AI Starts With People: How Gabriel Ayodele Is Engineering Trust Through Mentorship

8 January 2024

Gabriel Tosin Ayodele: Leading AI-Powered Innovation In Web3

8 November 2022
© 2025 Digital Times NG.
  • Advert Rate
  • Terms of Use
  • Advertisement
  • Private Policy
  • Contact Us

Type above and press Enter to search. Press Esc to cancel.