With technology-driven digital transformation, gain a competitive edge in fast-moving markets.

Disruptive technologies such as AI/analytics, IoT, cloud and blockchain are rapidly changing our world,
and numerous industries are already reaping benefits from digital transformation.
Today, only companies that make the most of digital technology to make their business more competitive and to build new business models survive fierce competition and afford to grow their business. In such a world, achieving continuous digital transformation (DT) and staying agile and reliable have all become a must for business growth.

01

Amid digital transformation, businesses are faced with unprecedented challenges and opportunities.

Amid digital transformation, businesses are faced with unprecedented challenges and opportunities.

Boundaries between industries continue to blur. Data is a valuable asset for enterprises to create value. Human-machine collaboration is driving significant changes in productivity innovation. IoT and Connectivity are changing the shape of the traditional value chain.

02

Emerging digital disruptors are rapidly growing in global markets.

Emerging digital disruptors are rapidly growing in global markets.

It took digital disruptors 4.4 years to reach the $1 billion benchmark (in enterprise value), a lot shorter than 20 years for the Fortune 500's. A growing number of traditional global firms are also aggressively driving digital transformation, gaining positive outcomes.

03

Today, 35% of the business world are agressively driving DT.

Today, 35% of the business world are agressively driving DT.

The majority of them lead the digital service/solution markets as digital transformers. Only less than 10% are fast movers who truly disrupt the landscape of the market.

01

Amid digital transformation, businesses are faced with unprecedented challenges and opportunities.

Boundaries between industries continue to blur. Data is a valuable asset for enterprises to create value. Human-machine collaboration is driving significant changes in productivity innovation. IoT and Connectivity are changing the shape of the traditional value chain.

02

Emerging digital disruptors are rapidly growing in global markets.

It took digital disruptors 4.4 years to reach the $1 billion benchmark (in enterprise value), a lot shorter than 20 years for the Fortune 500's. A growing number of traditional global firms are also aggressively driving digital transformation, gaining positive outcomes.

03

Today, 35% of the business world are agressively driving DT.

The majority of them lead the digital service/solution markets as digital transformers. Only less than 10% are fast movers who truly disrupt the landscape of the market.

Case Studies

  • Koelnmesse

    Digital Convention

    When digitalizing a german trade fair & exhibition center, visitor experience was taken into account for storytelling in exhibitions. To realise this interactive storytelling, numerous IT technologies were used in advertising space to improve customer experience. It proved that there are new possibilities and services for exhibitors, customers and partners.

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  • Harman

    Digital Marketing

    Data analytics-driven marketing is applied to a Harman store in New York where customers enjoy unparalleled in-store shopping experience like personalized contents and intelligent conversational shopping.

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  • Pega

    Blockchain-based car warranty management

    Tech Mahindra, a global partner of Samsung SDS, partners with Pegasystems (BPM solutions provider) to integrate Samsung SDS Nexledger blockchain platform into Pega's DPA (Digital Process Automation) platform, implementing a blockchain-based traceability solution.

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  • semiconductor A

    Intelligent factory

    The manufacturing process of memory chips and batteries uses big data analytics to resolve and predict chronic defects and quality issues.

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  • manufacturer A

    Global e-commerce system

    The SRE model empowered this company to collaborate more efficiently in development and automate deployment/operations of its global e-commerce system. Plus, thanks to the model that allows a globally simultaneous launch and a shorter launch cycle of new products, the company provides services in a more timely manner than before.

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  • manufacturer A

    Fast global expansion of MES

    Due to the single system structure of the legacy MES, flexible adaptation to changing markets was something unthinkable in the past, and system investments and production of its overseas factories were not fully visible to the head office, hindering steady and reliable production. We built a cloud (PaaS)-based standard Dev/Ops platform to improve stability, manufacturing processes and costs.

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  • Amore Pacific

    Digital Workplace

    For more efficient business with its global partners, this 5,000-strong company operating in 17 countries digitally transformed its office into a smarter workplace where integrated document management & posting, memo pads and tasks-to-do are provided for business collaboration.

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Our Capabilities

As the innovation partner of our customers, we tap into our core digital capabilities like enterprise AI, Cloud, CX innovation and Agile Transformation to offer new value and experience. We vigorously support our customers' digital transformation in numerous industries through innovating customer touchpoints, productivity innovation, process automation and intelligent manufacturing that goes beyond automation.

Use Cases

Get a closer look

SDS Digital Transformation

When a business evolves into a digital business framework, it must fully utilize digital technology in transforming its business model and innovating business operations, products and services. This must play a critical part when the company prepares to offer its customer new value and experience.
Samsung SDS is rigorously working as the key partner to enterprises in various industries, aggressively backing their digital transformation. Find out what Samsung SDS Digital Transformation Framework has to offer for digital transformation of your organization.

TREND REPORT

Read, download, and share

  • WHITE PAPER

    Digital Transformation Strategies in Logistics - Cases & Insights

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  • WHITE PAPER

    Your Solution to Logistics Process Automation, Brity Works

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  • ANALYST REPORT

    IHS report – Supply Chain & Logistics Intelligence in the Age of AI, IoT and Blockchain

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Latest news and insights

What's new and what's next

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    Whether you’re looking for a specific business solution or just need some questions answered, we’re here to help.

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    If managers request information in natural language, Brity Works searches data and creates a data-based report. When the work is done, managers get reported on results via messenger.
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    Automate insurance claims processing using image search Shorten the time required for insurance claims and ensure appropriate settlement by identifying images of similar accidents during the insurance claims process.
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    Authentication and information sharing between affiliates Authentication information can be managed using blockchain. Under the management of the lead organization, customer information can be delivered to affiliates with the customer’s consent.
    Information sharing between affiliates of a financial holding company Nexfinance enables master data management of personally identifiable information using blockchain. Customers can create a digital identity for financial synergy by sharing information across affiliates of a financial holding company.
    Full Digital Economy Blockchain can be leveraged for the encryption and management of sensitive personal information. In a digital economy consisting of numerous equal participants, customers need to be able to control their own information using privacy control. With Nexfinance, key information can be encrypted on the customer’s device and only be delivered when needed.
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    AI Virtual Assistant Driven by artificial intelligence and robotic process automation, AI Virtual Assistant enhances work efficiency through integration and automation of previously segmented processes.
    AI Virtual Assistant In addition to automatically answering customer questions, AI Virtual Assistant also performs menu search and integration, responds to product inquiries and is capable of processing simple scenario-based applications.
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    Brightics AI enables deep-learning analysis of ECG(Electrocardiogram) data that is collected by wearable device in order to classify highly sensitive and diverse arrhythmia with high accuracy. Hospitals and research institutes can use these result in heart disease diagnosis and clinical studies.
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    Digitization of exhibition space - Provide the necessary information on time for satisfying exhibition experience of visitors who have visited complex exhibition halls. Flexible content allows operating content flexibly.
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    Transport Delay Prediction, Risk Monitoring Predict transport delays and detect transport anomalies in advance by tracking shipping companies and transport routes
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    E-Contract Promptly share and manage electronic contracts via blockchain. Enhance the stability and reliability of your contract system.
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    Logistics Tracking Drive efficiency across complex and repetitive trade processes by ensuring your contract and logistics data is shared transparently in real-time through blockchain.
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    Big-data analytics is used for manufacturing process to learn and collect data on facility deterioration, the frequency and level of anomaly, then identifies the cause of anomaly and prediction timing for facility maintenance and replacement.
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    Analyze problems and take the right course of action After returning to the office, engineer noticed that the expense increased due to repair under warranty on certain qualified products indicating failures during a particular period. Based on rigorous analysis of the outgoing qualified products, engineer directed a selective delivery of 1st grade products to premium customers asking for high quality and instructed an additional quality inspection on 5th grade products.
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    Measure and inspect defect images by deep-learning algorithms