Training

ERP Implementation: Lessons from Real-World Projects ERP projects are complex and long. They touch finance, operations, and supply chains, and they demand more than software configuration. Real-world deployments show that success rests on people, clean data, and disciplined planning. When teams align on outcomes—not just modules—the project stays focused, reduces scope creep, and delivers measurable value sooner. Begin with a clear vision and practical goals. Involve executives and end users early to agree on outcomes and key performance indicators. A simple rule helps: write down 3-5 metrics the ERP should improve, such as cycle time, inventory accuracy, or on-time delivery. This keeps the project grounded and easy to communicate. ...

ERP Implementation: Change Management and ROI ERP projects change how teams work, not just what software runs on a screen. A successful rollout blends technology, process fixes, and people support. You gain more when you plan for change as part of the project, not after you go live. A clear path to ROI comes from measurable wins that align with daily work. Why change management matters Executive sponsorship and a shared vision help everyone stay focused. Stakeholder mapping shows who travels first, who waits, and who needs extra coaching. Training and ongoing help reduce resistance and data errors. Data quality and process alignment ensure the system reflects real work. Change management connects daily tasks to business outcomes. It turns fancy features into faster orders, smoother cycles, and better forecasts. When leaders communicate goals, users see value earlier, which builds momentum for the full implementation. ...

Deep Learning Accelerators: GPUs and TPUs Modern AI work often relies on specialized hardware to speed up work. GPUs and TPUs are the two big families of accelerators. They are built to handle large neural networks, but they do it in different ways. Choosing the right one can save time, money, and energy. GPUs at a glance They are flexible and work well with many models and frameworks. They have many cores and high memory bandwidth, which helps with large data and complex operations. They support mixed precision, using smaller numbers to run faster without losing accuracy in many tasks. Software is broad: CUDA and cuDNN on NVIDIA GPUs power popular stacks like PyTorch and TensorFlow. TPUs at a glance ...

Foundations of Machine Learning for Developers Machine learning helps software improve over time. For developers, the practical path is to treat ML as a software project with data as input and a model as the output. This mindset keeps teams focused on real value, not just math. In practice, you work with data, a clear goal, and reliable tooling. A simple plan makes the work easier to manage. Data is the foundation. Start with clean data, fix typos, remove duplicates, and handle missing values. Normalize features when needed and be consistent in labeling. Split your data into training and testing sets, and use cross validation to estimate how your model will perform on new data. Document data sources and any changes you make so others can reproduce results. ...

EdTech: Enabling Learning Anywhere EdTech makes learning portable. With smartphones, tablets, and laptops, students can study anywhere — at a bus stop, in a library, or at home. Cloud storage, video tutorials, and online quizzes keep content in sync across devices. This flexibility helps learners of different ages and backgrounds and reduces the need to be in one place. Key enablers include mobility, offline options, and fast feedback. Tools that work offline and then sync when online support students in areas with unreliable internet. Shared documents, discussion boards, and video calls make teamwork possible even when classmates are far apart. ...

Information Security Basics in Everyday Practice Information security protects data, devices, and people. It is part of everyday life, not just for IT teams. Small steps can stop many problems before they start. Today, threats range from simple phishing to ransomware. Weak passwords or unpatched software are common doors attackers use. By keeping a few basics in place, you reduce risk for home networks and small offices alike. Key practices you can start now: ...

Digital Transformations in Education and Work Digital transformation touches both classrooms and offices. It changes how we learn, teach, work, and collaborate. With better internet, devices, and cloud services, ideas travel faster and feedback arrives sooner. It also opens new roles for teachers and managers who guide learning paths and design better systems. In education, online platforms offer flexible schedules. Students can study from home, the library, or a lab. Teachers use learning management systems to organize lessons, share materials, and track progress. AI tools can personalize quizzes and adapt to each learner. This helps students stay motivated and lets teachers adjust content for different classes. ...

Information Security Fundamentals for Modern Organizations Information security is not a single tool but a system that relies on people, processes, and technology. A strong program starts with clear goals, simple policies, and practical controls that fit the size of the organization. At its core, security follows the CIA triad: confidentiality, integrity, and availability. Protect sensitive data, keep software and devices up to date, and ensure services stay online even during a threat. ...

Harmonizing Compliance Across Global Teams For global companies, compliance spans data privacy, anti-corruption, vendor due diligence, and workplace safety. When teams in different countries interpret rules differently, risk grows and audits become costly. A shared baseline policy reduces confusion and speeds onboarding. A practical model starts with a core policy that applies everywhere, plus local addenda to reflect regional laws. Clear ownership matters: a Central Compliance Lead coordinates standards, while Regional Compliance Managers tailor them. Regular, plain-language updates keep everyone on the same page. ...

The Future of Computer Science Education: Trends and Skills Computing education is evolving beyond lessons about syntax. The future CS classroom emphasizes computational thinking, collaboration, and responsible use of technology. Teachers blend short demonstrations with longer projects so students see how ideas connect to real problems, from data analysis to building simple apps. Even beginners can start with visual tools or Python, then move to small projects that matter to them. ...