On October 26th, the 2018 IBM Artificial Intelligence and Digital Reshaping Action Day Conference held by IBM Global Business Consulting Services (GBS) was held in Beijing. The conference focused on “reality & middot; achieving surreal” The theme explores emerging technologies such as artificial intelligence, blockchain, Internet of Things, intelligent automation, and cloud computing.
IBM pointed out that enterprise consulting services have reached a critical change point. The traditional enterprise consulting model can no longer meet the needs of enterprise transformation in the digital age. The consulting industry is moving toward the era of “Enterprise Consulting Service 2.0”, how to deal with the challenges of the intelligent era. How can a consulting company help companies achieve a digital transformation?
The technical support behind the IBM Business Consulting 2.0 era is primarily due to the ability to digitally reshape services.IBM has 50 IBM Experience Design Studios (iX Studio), 86 Innovation Centers, 55 Delivery Centers, and top consultants in a variety of industries.
IBM has completed more than 100 acquisitions over the past decade and has successfully completed the transition to a cloud platform and cognitive computing company. At the same time, IBM has helped companies in more than 170 countries around the world transform and reshape digitally.
IBM believes that the trend of enterprise development in the era of artificial intelligence is “cognitive companies”.IBM is recognized as a leading global service provider that advances artificial intelligence with large-scale differentiated assets around the Watson ecosystem. At the meeting, Mai Junyan, general manager of IBM Global Business Consulting Department of Greater China, mentioned the concept of “cognitive enterprise”. He believes that as the digitalization trend becomes more mature, a new wave of transcendence of digitization is beginning to emerge. Emerging technologies such as artificial intelligence, blockchain, Internet of Things, robotic process automation, virtual reality and augmented reality, and 3D printing are rapidly emerging, and a new round of business architecture change is poised for growth. “Cognitive companies & rdquo; Become a development trend.
Becoming a cognitive company requires the use of proprietary data, unique platforms and specialized knowledge. It has three major characteristics:
First, the platform is the center.The digital platform strategy has become an important means for enterprises to achieve leadership and counterattack. To some extent, the platform is the process of reshaping the ecology and re-finding its own reasonable position. 48% of executives surveyed consider or have adopted a platform architecture. They hope to build core platforms to strengthen their core capabilities and expand their geographical coverage; become the dominant player in the industry platform; or expand the innovation advantages of traditional fields and seize market opportunities across industries (for example, automotive companies become travel platforms, chain hotel transformation) For entertainment companies, or insurance companies to transform into savings institutions).
Second: machine learning companies.To make the platform differentiated, the key is to leverage the core data value of the enterprise, so that the workflow has continuous self-learning and self-optimization capabilities, and is supported by the latest forms of artificial intelligence and extreme automation technology, including "perception&rdquo ; Internet of Things technology and blockchain technology.
Third: A highly flexible modular enterprise.Cognitive companies will be made up of multiple platforms, some owned by themselves, some sourced from outside, and some leased. If companies can coordinate this series of platforms most effectively and form a broader ecosystem, they will achieve greater success in the future.
In the past, companies worshipped the unique methodologies and classic cases of consulting companies because domestic management practices lag far behind the West. But the gap is now shrinking, and the new challenges brought by digitization have brought global companies to a starting line. As information technology begins to drive business models, operational methods, and the evolution of the implementation process, almost all consulting activities must consider the impact of information technology.
How do traditional industries embrace this change? Perhaps the "Technology Institute" model proposed by IBM in the era of enterprise consulting 2.0 can solve these problems.. In summary, it has the following characteristics:
First, technology driven.When emerging technologies such as artificial intelligence, blockchain, Internet of Things, and robotic process automation are on the stage and become the core driving force for enterprise development, enterprise development and business operations are increasingly dependent on information technology, and digitalization has become an influential enterprise. The key factor of the strategy. The business strategy of doing business consulting cannot be without considering technology, and IT leading the business has become a reality.
Second, work together to innovate.In the digital age, global enterprises are on the same starting line. Technology innovation-driven consulting is no longer a unilateral theory transfer and application. New technologies are still developing. There is no ready-made experience to copy, and no one. The transformation of the enterprise is in full compliance with the requirements of the other, and the application of technology is also groping. The transformation of the enterprise needs to be explored together with consultants and innovated together.
Third, the results are oriented.Emerging technologies are driving changes in the business architecture of the enterprise, triggering a new division of labor within and outside the enterprise. Companies need to rethink their positioning, re-engineer models of innovation and operations, re-evaluate and improve the positioning of companies in a market environment, corporate and employee culture, and relationships with customers and partners. Enterprise consulting services are based on customer's rapidly changing business objectives, providing results-oriented consulting services to help customers mine demand, quickly achieve business changes, and achieve economic benefits and efficiency.
Fourth, agile iteration.In an environment where technology development and competitive environment change rapidly, the strategy will not be static. It requires consulting companies to rapidly deploy, validate and continuously adjust strategies to help enterprises achieve agile iteration. Customers and consumers have become stronger than ever, and previous customer needs have been simple and clear, but after the advent of the mobile era, the demand for empowered consumers has become difficult to explore. Therefore, we must use Designer Thinking to better understand the needs of our customers, then try and correct them through agile methods, continually correct them, and finally deliver them through the designer workshop.
Fifth, grow together.Early business consulting services were the result of consultants' experience, and they were used flexibly by their own business models. In the era of business consulting 2.0, consulting companies and customers need to re-explore new market positioning, and the complexity and difficulty of using technology is beyond the past. This kind of exploration brings greater uncertainty, and the consulting company also needs continuous support during the trial and error process. Therefore, future business consulting services require long-term collaboration and grow with customers.
So far, IBM has implemented a digital reshaping path with a number of industry benchmarking companies that fundamentally reshape their business practices, seek breakthroughs in today's low-growth economies, and strive to optimize costs in new environments. Winning a battle for talent, changing the way customers interact, and changing long-term traditional work patterns through cloud, cognitive, and automated applications.