Intelligent Leadership In 4.0 Work-Place

Intelligent Leadership In 4.0 Work-Place

Leadership must be believed and lived. If we want to shape the digital future, we also need people to realize new business models, processes and (AI) systems, who not only can live this thinking in their “minds”, but also realize it.

 

To achieve this goal, we need a new systematic education in (high) schools, families, administration and economics that empower people to move away from the current one-way street to a permanent growth thinking mindset. And for that, the radical confusions must be first understood with a leadership learning program in our heads. Lifelong learning with others, knowledge about climate change, health and simulation work with computers / machines / robots is becoming a “must”.

 

The Transformative Problem

 

Cooperative, interdisciplinary teamwork, responsible and autonomous work design are becoming increasingly important. So that the leadership needs to strengthen cooperation, identification and trust. Short innovation cycles and personalized products require tailor-made qualification measures. New forms of work such as shared / part-time leadership, virtual and networked teamwork can then be tangibly experienced.

Responsibility and control are shifted to where the work is done – even if it can be done by robots. In this way, networked communication, fluid form of project work in networks along the value chain is becoming increasingly important – both analogue and digital.

 

Managers not only have to master the tools of the “old world”, such as KPI orientation, top-down communication and control, but they must have flexible skills that enable them to lead in both organizational worlds. Self-control skills, holistic thinking and acting, self and other perception and the defence of our culture of values ​​are in the foreground.

 

Risk-seeking leaders are highly wanted

 

Most companies are run by risk avoiders rather than those ready to plunge into an uncertain digital future. We cannot deny that with investments in new (digital) business models, companies / organizations continue to struggle very hard. On the one hand, they do not want to attack their existing business model themselves, but on the other hand, they also have problems identifying new, high-yield models. Often, the assistance of upper management is lacking, not only to force the necessary cultural change but also to be able to try out potentially risky models. Established companies at this point have a disadvantage compared to digital innovators who neither have to change a traditional leadership culture nor defend an established business model.

Many companies are finding that there is a lack of appropriate leaders who have the transformational leadership key skills for the future. They need leaders who no longer think and act one-dimensionally, but multi-dimensionally. Hierarchies then become much flatter, the processes and services faster and more meaningful.

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Leadership in the 4th Industrial Revolution is defined by the ability to rapidly align & engage empowered, networked teams with clarity of purpose and fierce resolve to win.

 

Digital transformation is not without inspiration

 

According to a study by the World Economic Forum Davos, “Digital Transformation Initiative” companies are the most successful with the business model of the “Digital Platform”. But how is that supposed to work? How do you come to a “new” thinking and acting? In “ancient Rome,”, they all ended up sitting in their mansions on their infinite wealth – but in their heads they were poor. This is how the kingdom went down.

So, it is only with an interdisciplinary cooperation and with a cross-industry cooperation that you can go further. Working together with intelligent information and innovation platforms, high standards and clear rules (Code of Conduct) is essential to enable the interaction of users and suppliers (best practices) of machinery and automation components, suppliers and competitors.

 

Employee and customer cantering at eye level are the magic word. Customers or partners have to be involved early on in the development of a new product or a new service and network with it. Many companies are missing strategic opportunities here.

Thus, it is necessary not only to improve the employees’ professional competences, but above all their social / emotional competencies, so that they can understand the different views and ideas of the stakeholders, such as: Operators, manufacturers, suppliers, IT / cyber specialists and can handle the cross-functional interaction compliant.

 

Conclusion

 

One thing is for sure: If we want to shape our future successfully, then change must not only bring about the fastest possible (digital) technological solutions for customers and the environment, but also the radical change in the mindset of the management team and skilled workers. This requires “inspirational” leaders in the workforce who intelligently network, support and develop the right creative minds across all departmental, hierarchical and national boundaries. The future viability of an economy and society is therefore determined by whether the companies and public administrations want to master this so-called value-based double digital transformation.

 

Source: Oxford Leadership Research – Leadership 4.0 : A review of the thinking

 

Ready, Set, Create: A Guide To Finding The Digital Balance Of Company 2019

Digital Transformation Trends For 2019

The turn of the year invites us to reconsider old structures and processes – and that also applies to the IT departments. Almost three-quarters of executives believe they are outperforming competitors in innovation, according to a new study by consulting firm PwC.

 

There will be a number of innovation hurdles to overcome in 2019. Many companies continue to worry about data security, data protection and compliance, as they lack a holistic solution. Elsewhere, proprietary legacy systems and processes prevent data from being used profitably. How exactly and where the journey goes is difficult to predict. In principle, however, here below major core areas are already emerging, which will be the priority for companies also in 2019:

 

  1. Data security and availability:

As early as 2018, British Airways, Cathay Pacific and Ticketmaster had to conclude that insufficient data security has serious consequences. That will not change in 2019 either. Ever more complex IT environments and applications are becoming more and more under pressure from day to day: patches, enhancements and cloud migrations are a constant burden on IT teams and resources. Even hackers know that disrupting a business can be just as profitable as a data theft. Ransomware and malware have already demonstrated how they can paralyze businesses and entire communities.

Plus, underGDPR regulations, customers will start catching on to which companies actually care about protecting their data. So, companies will start recognizing how important it is for the customer’s experience and audience that they protect their customers, or at least show that they want to. Misuse of personal data will impact brand identity, marketing and selling – all business-critical initiatives to keep the customer happy and coming back.

 

  1. Speed:

In 2019, financial services providers and the banking sector will make important progress on their path to digital transformation. With fully digital, pure mobile banks such as N26, which are becoming increasingly popular, we are already experiencing enormous changes in the industry today. Being flexible, 24×7, and mobile in the first place, while complying with regulations and data protection laws, can be a daunting task. But this is precisely where the expectations of the new generation of customers in financial services lie.

 

  1. Compliance:

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The scale of new data security regulations is not fully predictable for businesses. Since data is constantly exchanged between all business units and with external service providers, a simple external hedge is not enough. The internal data streams must also be protected with the right technology. These technologies are the key to holistic risk management across the data supply chain, so that even in the AI-based and near-real-time future-oriented applications, developers and data scientists can be confident that their processes will protect their privacy and compliance directives do not affect regulations.

 

  1. People and technology:

Humans are interacting more and more directly and personally with their own technology, resulting in completely new datasets and application fields, e.g. the diagnosis of neurological diseases using speech patterns. Businesses need to access this data to improve their digital services and customer care. We’re counting on technology to take personalization and automation to a whole new level.

 

  1. Data scientists on the rise:

In terms of agility, startups are already performing better than legacy applications. The introduction of data technologies and analytics in developing and emerging economies will create even more opportunities and further enhance competitive conditions for data-driven companies. That’s why a data science team should be high on the business wish list, as well as the right data management and virtualization tools. Because the analysis of each is only as good as the data that is analysed.

 

  1. CEOs – More Than Just a Face of the Company:

2019 will see the rise of the CEO who will take the reins of digital transformation at businesses worldwide. Digital transformation is no longer looked at as just a fad, but rather a means of staying relevant in today’s business-world. Hiring those in digital transformative efforts will become a top priority as each CEO recognises the critical need for building cultures that can evolve, as well as the value of reskilling employees and hiring for an agile workplace. For CEOs leading a transformation, no single model guarantees success. But they can improve the odds by targeting leadership functions: making the transformation meaningful, modeling the desired mind-sets and behavior, building a strong and committed team, and relentlessly pursuing impact. Together, these can powerfully generate the energy needed to achieve a successful performance transformation.

 

The goal for 2019 is clear: digital balance. Businesses need to be sure that their data is securely stored, and their processes are automated around the clock. The way to achieve this goal is often bumpy and difficult by nature. It will cost companies time and perseverance to reach the digital balance, but the inner peace and inherent benefits of a sophisticated data strategy are definitely worth it.

AI IN CUSTOMER COMMUNICATION – 5 PRELIMINARY QUESTIONS

 

AI is set to be a game-changer for businesses across every industry. Artificial intelligence is undoubtedly changing the way companies address and interact with their customers.  Pluq, the increasing adoption of digital language assistants such as Alexa and Co., Siri and Amazon Echo, in private households is leading-edge.

 

A new study by Bitkom and Deloitte on the future of consumer technology showed that, in addition to 13%, who already had an intelligent virtual assistantin 2018, 4% of those surveyed are planning a purchase a voice assistant in 2019 and 27% can imagine controlling devices by voice in the future. The fact that, according to Gartner, 30% of companies will use AI for at least one key sales process in 2020, which encourages AI adaptation. Companies are faced with the huge task of adapting to the increasingly complex communication needs of their customers. Therefore, language assistants are being integrated into more and more devices.

 

Study highlighted the rapid rise of intelligent language assistants in 2018 and in the coming years we will control more and more devices with our voice. Which opens gates to a new billion-dollar market.

 

Despite all the forward-looking tips and statistics, many companies are still wondering how they can ideally use AI for themselves. Also, the costs that result, the impact on employees and customer satisfaction is not really measurable for many.

To get an overview here you should ask the following basic questions:

 

  1. What do customers really want?

Often, when answering this question, it helps to have a closer look at the customer database. Age structure, nature and complexity of incoming requests provide a clear direction. For example, an airline can quickly and efficiently handle the query of travel times with the help of artificial intelligence. But customers still preferer a human contact when questions about insurance details or specific health problems rise.

 

  1. How is automation currently being used?

Automation is not just a topic for companies since the introduction of artificial intelligence. Many have already integrated automatic systems such as IVR (Interactive Voice Response) for telephone inquiries and automated e-mails or SMS into customer communication – systems that have proven themselves so far. Implementing artificial intelligence here is not necessarily the way to go. Rather, one should analyze how existing systems can be improved to meet evolving customer needs. For example, an automated language solution with machine learning in the background could complement an existing solution and offer the customer an improved contact experience.

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  1. How will the employees react?

The biggest fear among employees is that artificial intelligence makes them redundant in the foreseeable future, for example through chatbots, and as a result they lose their jobs. The fear since the beginning of the industrial age, that machines will take over humans and jobs, is the biggest communications challenge. This is further aggravated by; a lack of understanding of AI compounded by confusing communication by various players during the current hype cycle. There is a need for constant communication and increasing awareness to improve the understanding and applications of AI. One just needs to look at history to conclude that every technological change created an explosion of new jobs and services and, overall, generated more wealth for all.

 

  1. How to find the right AI solution and how should an implementation work?

There are already a variety of AI solutions for various functions, including, for example, Natural Language Processing (NPL). You should basically get an overview of the solution providers – especially those who have a platform with interfaces to different AI solutions in their portfolio. It is essential, however, that there is a precise idea of ​​the existing communication infrastructure and the improvements to be achieved in customer communication. For example, cloud-enabled contact center vendors and specialized integration offerings with an end-to-end AI package can bridge the gap between existing functionality and the AI ​​skills needed to meet existing needs.

 

  1. How is one prepared for the future?

AI will inevitably play a major role in the future of customer contact. But there are many details to consider when planning implementation – even though the customer base is not yet fully receptive to this technology, the rapid development of AI and the ability to address more complex issues can lead to that acceptance which will increase significantly in just a few years. Also, the increasing adaptation of consumers to these types of interfaces will increase their acceptance to, and expectation of, this technology. Long-term planning should therefore always leave room to introduce new innovations as soon as they can offer defined added value.

 

This is precisely why Cloud-based contact center and integration technologies are available that are inherently capable of adapting flexibly to new developments and introducing new third-party connectors. This open technology has the advantage of reducing the risks for future AI and contact center planning and provides the ability to introduce functionality as needed. This avoids being late for a new innovation and losing valuable competitive advantages.

 

The Advances of IT Sector in 2018

 

2018 came with a lot of challenges in IT sector. Three topics kept IT departments on their toes: the GDPR with all its legal refinements; the race of IT security with cyber-attacks and data thefts and the search for the best strategy for the digital transformation.

 

Again, and again it concerns the data protection basic regulation (GDPR)

 

Since May 25, 2018, the EU General Data Protection Regulation (GDPR) is required – but many companies are still struggling with the implementation of the new regulations. In particular, data protection in the cloud requires special measures. Here are five tips on how a Cloud Access Security Broker (CASB) can help.

 

Nobody can pass cloud computing. Especially the combination of different models and providers, keyword Multi-Cloud, offers a highly flexible infrastructure to access the resources and advantages of different cloud models. However, in vision of the Data Protection Regulation (GDPR), new security and compliance requirements apply to companies. How can the complexity of a multi-cloud environment also be managed with security in terms of data protection and what should companies pay attention to when choosing their cloud provider? Here below are some recommendations on how companies can use the added value of the multi-cloud and at the same time ensure their compliance with GDPR.

 

  • Having a short guideline of the minimum requirements for companies to comply with the GDPR
  • Structure data management – personal data must be quickly locatable
  • Comply with the documentation and keep directories
  • Respect a short deadline for reporting violations of data protection – it threatens sensitive fines
  • Implement compliance management system for privacy
  • Raise awareness of data privacy and GDPR in your own company – train employees and establish new processes
  • Include external / internal employees and service providers in compliance strategies
  • Take privacy requirements already in software development and product design into account
  • Anonymise or pseudonymise data for testing and development purposes – or obtain explicit consent of the customer for the use of their real data
  • When migrating data to cloud, avoid vendor lock-in and clarify procedures for eventual return transfer
  • When using multi-cloud environments, choose a service provider that provides all components and their control completely GDPR-compliant from a single source

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In search of the magic formula for the digital transformation

 

The focus of the digitized company is the ability to integrate with customers and partners in an Internet-based manner, as simply and as quickly as possible, so that they can achieve high levels of automation on demand, which are used to quickly place products on the market.

 

The integration of appropriate processes in the company, on the one hand, creates advantages through automation. On the other hand, integration with partners, customers and other stakeholders means that company can market their products better and faster. Being a digitized company goes far beyond the simple use of software. Just because a company uses CRM software is far from digital. It is more about the complete integration of the customer and his needs into the internal company processes.

 

Every business has to find its right level of digitization. There will not be a universal recipe

for that. However, there are many criteria that influence. The key to digitization ultimately lies in understanding customer needs and the ability to integrate at all levels – from a purely technological to a sociological level of integration. Who can and who controls this, will be successful in the end.

 

Race of IT security with cyber attacks

 

Cyber risk is becoming increasingly international. Cyber losses are now being reported in almost every country of the industrialized world. Criminal attacks hit industrial companies particularly hard: Through sabotage, data theft or espionage, the average cost of a malware attack on a company is $2.4 million in the past two years. Above all, insecure IoT devices invite hackers to DDoS attacks. These “smart” devices are then very well suited to become part of a huge botnet. Thus, DDoS attacks have nearly doubled in the last six months.

 

But numerous other types of attacks also caused damage. Such as, file-less threats with “CactusTorch” use trusted Windows executables to penetrate systems and break through corporate networks. Cryptojacking has become a massive threat, with deep-fake attacks unlikely to be well-developed, and financial breach an increase in cyberattacks by hidden tunnels.

 

Although the cyber threat has increased in past few years, efforts to combat attacks and improve security are also escalating. Security spend is reaching unprecedented levels, international cooperation among cyber protection organizations is improving, and there are initiatives to catch and deter cyber criminals.

 

Minimize business-critical downtime

 

To quickly get back to business after a ransomware attack and to minimize mission-critical downtime, a multi-layered data management strategy with easy automation and fast recovery is essential. When a system is validated and can be restored quickly and easily, companies benefit in two ways. Not only can they avoid paying the ransom, they can also resume regular daily business in no time.

 

Endpoint Detection and Response (EDR) can also be a powerful tool against sophisticated enterprise IT attacks that help prevent threats that security solutions can not block in advance.

 

Companies only successfully digitize themselves when information and data can be securely and reliably exchanged. On one hand, this requires secure identities. On the other hand, data and documents must remain confidential and protected against manipulation. So you can protect yourself with a technology concept from cyberattacks.

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