SAP's Strategic Shift Towards AI: An Analysis of Its Recent Restructuring

 

 

Aayushi Mathpal

Updated 25 Jan,2024,10:30AM,IST

 

The Tech Landscape Shifts Again

SAP, a titan in the world of enterprise software, has recently announced a significant restructuring plan, directly affecting 8,000 jobs as it refocuses its business strategy towards artificial intelligence (AI). This move has sparked interest across the tech industry, particularly given the rising prominence of AI in modern business operations.

The Details of the Restructuring

The restructuring plan is a 2 billion euro ($2.17 billion) initiative, aimed primarily at bolstering SAP's AI capabilities. It's a bold move, especially considering the company's already substantial influence in software for managing business operations and customer relations. This transformation is expected to affect around 8,000 of SAP's over 107,000 employees, with the company emphasizing voluntary leave programs and internal re-skilling measures to manage this shift​​​​.

A Response to a Changing Market

SAP's decision is a response to the rapidly evolving tech landscape, where generative AI has gained significant traction. The popularity of tools like OpenAI's ChatGPT, Microsoft's Bing, and Google's Bard chatbots exemplify this shift. SAP's commitment to AI was further emphasized by their investments in three generative AI companies last year and the appointment of Microsoft's Walter Sun as its global head of artificial intelligence​​.

Financial Implications and Future Prospects

Financially, SAP has been performing robustly, with its latest financial results for 2023 exceeding expectations. The company has experienced a 9% increase in operating profit and a 5% surge in revenue compared to the previous year. This restructuring is expected to further increase operational efficiency, with a forecasted half a billion euro boost in operating profit by 2025. Importantly, SAP's move towards AI is not just about cutting costs but repositioning the company in a market that increasingly values AI-driven solutions​​.

The Bigger Picture

This restructuring by SAP is indicative of a broader trend in the tech industry. Global tech giants like Google and Microsoft have also been leaning into AI, resulting in a wave of investments and organizational shifts. SAP's move suggests a growing recognition of AI's potential to revolutionize business operations and the nature of human labor itself.

Conclusion

SAP's restructuring to focus on AI reflects a strategic realignment with the evolving demands and opportunities of the tech market. While it brings significant internal changes, it also positions SAP at the forefront of the AI revolution in business software. This move might be a bellwether for other tech giants, signaling a shift towards AI as a core business strategy in the rapidly evolving digital landscape.

By: vijAI Desk

Unlocking Your Future in Data Science: Paid Internships in 2024

Introduction: The Gateway to a Promising Career 

In the ever-evolving landscape of technology, data science has emerged as a cornerstone, offering myriad opportunities to those eager to dive into the world of big data, AI, and analytics. As we step into 2024, the prospect of paid internships in data science presents an invaluable opportunity for aspiring data scientists to gain real-world experience, develop in-demand skills, and set the foundation for a thriving career.

Why Choose Data Science in 2024? 

Data science is not just a buzzword; it's a critical component in the decision-making processes of modern businesses. With the explosion of data in recent years, the demand for skilled data scientists who can interpret and extract meaningful insights is at an all-time high. Industries ranging from healthcare to finance, and from retail to government, are all seeking data-savvy professionals.

What to Expect from Data Science Internships

Paid internships in data science offer more than just financial rewards; they are a springboard to practical experience and professional growth. Interns can expect to:

1. Work on Real Projects: Tackle actual business problems, analyze large datasets, and contribute to meaningful solutions.
2. Learn from Experts: Be mentored by experienced data scientists and network with professionals in the field.
3. Develop Technical Skills: Gain hands-on experience with tools like Python, R, SQL, and machine learning algorithms.
4. Understand Business Acumen: Learn how data-driven decisions impact various aspects of a business.
5. Build a Professional Network: Connect with peers, mentors, and industry professionals, which can be vital for future job opportunities.

Finding the Right Internship for You To find the perfect internship, consider the following:

• Research Thoroughly: Look for companies known for their data science capabilities and commitment to intern development.
• Identify Your Interests: Data science is vast – from AI to business analytics. Identify your area of interest to find a relevant internship.
• Prepare Well: Strengthen your resume with relevant coursework, projects, and skills. Be ready to showcase your problem-solving and analytical abilities.

Preparing for the Journey Ahead 

Before you embark on your internship, equip yourself with foundational knowledge in statistics, programming, and data analysis. Online courses, bootcamps, and university programs are excellent resources to build or strengthen these skills.

The Role of Universities and Companies 

Universities play a pivotal role in preparing students for these internships, often offering courses aligned with industry demands. Likewise, companies are increasingly collaborating with educational institutions to design internships that are mutually beneficial.

Conclusion: A Stepping Stone to Success 

Paid internships in data science are more than a job opportunity; they're a gateway to the future. They provide a unique platform for aspiring data scientists to apply their knowledge, learn from real-world scenarios, and jumpstart their careers in this exciting and dynamic field. As we move through 2024, these internships are not just positions to be filled, but journeys to embark on, full of learning, growth, and endless possibilities in the world of data science.

Top of Form

Check out the list of Data Science paid Internships for Jan 2024 !

Micron

Role: Data Science Internship

Location: Hyderabad, Telangana

Qualification: Bachelor’s/Master’s degree or equivalent

Skills: Strong foundation in statistical modeling, feature engineering, and machine learning algorithms. Proficiency in software development and data structures, with fluency in Python or R.

Responsibilities: For data science intern jobs in India, the data scientist will analyze and model massive datasets spanning terabytes and petabytes in diverse formats within Micron’s automated industrial environment.

 

 

Techieyan Technologies

Role: Machine Learning Intern

Location: Hyderabad, Telangana

Qualification: Any Graduate / Post Graduate

Skills: Machine Learning Interns design and implement machine learning models and algorithms using programming languages and frameworks. They need to have strong mathematical, statistical, and computational skills, as well as curiosity and creativity.

Responsibilities: They also conduct data analysis, research, and experiments to test and improve their models. They collaborate with other engineers and stakeholders and communicate their findings and recommendations.

 

 

Althub

Role:  Data Engineer Intern

Location: Secunderabad, Telangana

Qualification: Any Graduates

Skills:  Proficiency in handling large datasets and solid Python skills with demonstrable experience is a must. Strong familiarity with ML/AI models based on regression, ideally with a background in statistics.

Responsibilities: Examine, clean up, and modify unprocessed data assets to get them ready for modeling. Create data models, including machine learning, to gain insightful information. Specify product requirements and create documentation.

 

 

Deepthought Edutech Ventures Private Limited

Role: Data Science Internship

Location: Hyderabad, Telangana

Qualification: Any Graduate / Post Graduate

Skills: Proficiency in software development and data structures, with fluency in Python or R. knowledge of data extraction from a variety of sources, including MS SQL, Teradata, and Oracle.

Responsibilities: Develop the infrastructure to capture and organize the learning processes of DeepThought. Create and manage a student behavioral data warehouse.

 

 

Wells Fargo

Role: Lead Analytics Consultant

Location: Hyderabad, Telangana

Qualification: Bachelors, M.A./M.Sc. College Degree

Skills:  3+ years of experience in Tableau Development, Python and SQL. Strong background in database architecture, data integration, and data warehousing.

Responsibilities: Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to resolve issues and achieve goals. Oversee teams and projects or function as a peer mentor for employees, interns, and outside contractors.