Finance Managing Director Digitization Challenges

As a Finance Managing Director, its very critical for you to understand developing brand strategy is extremely critical. The most important asset your company has is its brand. Quite simply, it drives the direction of your business. So you should definitely have a well thought out brand strategy in place.

Increasing competition in business develops similar products with good quality from different manufacturers. But only an effective, innovative and Membership Costs & planning can make your business and products more popular.

For your profession as Finance Managing Director it becomes your responsibility to stay connected with like-minded supporting industry experts who can guide and help you deal with your day to day work issues.

Strategic Management Of Technological Innovation

How To Create A Brand Strategy: Unique Digitizing Services

If you are entrepreneurial in nature owning a business is very exciting adventure. It can also be the most difficult thing for you to get into if you are not prepared.

According to John McCarthy, who is the father of Artificial Intelligence, an AI is "The science and designing of making intelligent machines, especially intelligent PC programs".

Artificial intelligence is a way of making a computer robot or a software think intelligently same as an intelligent human thinks. Artificial Intelligence (AI) is the concept of having machines "think like humans".

AI has a huge effect on your life. Whether you are aware or not, it has already influenced your life style and it is very much likely to grow in coming years.

Here are some examples of AI that you are already using in your daily life:

• Your personal assistant Siri - It is an intelligent digital personal assistant on various platform (Windows, Android, and iOS). It provides you an assistance whenever you ask for it using your voice.

• Smart cars - Google's self-driving car, and Tesla's "auto-pilot" feature are two examples of Artificial Intelligence.

• Recommended products or Purchase prediction - Large retailers like Amazon, recommend you the products, send coupons to you, offer discounts, target advertisements on the basis of the shopping you earlier had by a predictive analytics algorithm.

• Music and movie recommendation services - Pandora, and Netflix recommend music and movies based on the interest you've expressed and judgements you have made in the past.

Other simple examples of AI influencing our daily life are:

- Facebook provides recommended photo tags, using face recognition.
- Amazon provides recommended products, using machine learning algorithms.
- Waze (a GPS and maps app) optimal routes, all at the click of a button.
- Spotify knows my music preferences and curates personalized playlists for me.

As per Marc Benioff, AI is going to impact corporate world, employees will be faster, smarter and more productive. It will learn from the data. Ultimately, it will understand what customers want before even they know and it could be a game-changer in the CRM industry.

Salesforce already bought productivity, and machine learning startups RelatedIQ, Metamind, and Tempo AI in 2014.

AI (Artificial Intelligence) in salesforce is not about time-travelling robots trying to kill us, or evil machines using humans as batteries in giant factories. Here we are not talking about some summer blockbusters, we are talking about the salesforce AI which will make your daily experience smarter, by embedding daily predictive intelligence into your apps.

So, what is AI?

AI is not killer robots; it is killer technology.
Artificial Intelligence (AI) is the concept of having machines "think like humans" - in other words, perform tasks like reasoning, planning, learning, and understanding language.

Customer focused AI: Salesforce Einstein
Salesforce is focusing on creating a platform for solving the customer problems across Sales, Service, Marketing and IT in a completely new way by using Salesforce Einstein.

Salesforce Einstein is built into the core of the Salesforce Platform. It enables anyone to use clicks or code to build AI-powered apps.

With Salesforce Einstein, we can have answer of these type of questions:

- Are you sure that you are servicing your customers by the right client?
- Are you sure that your customers are getting services on the right channel?
- Is it correct to say that you are offering the right item to the right customer at the right time?
- Is it correct to say that you are using the right channel for marketing your products at perfect time with best substance?

Salesforce Einstein is your data scientist

Einstein is like having your own data scientist dedicated to bringing AI to every customer relationship. It learns from all your data - CRM data, email, calendar, social, ERP, and IoT - and delivers predictions and recommendations in context of what you're trying to do.

AI has the ability to transform CRM using Salesforce Einstein

- Sales people can spend more time in visiting customers, not in entering data in CRM.
- Sales people can now better understand the customer requirement and when they need it.
- Sales people can close deals faster by predicting the next step for every customer.
- A service agent could suggest a solution to the customer even before he asked for it.
- Service agent can offer cross-sell at the right time to the right customer.
- Marketing user can easily reach to the right customer at the right time.
- Marketing user know who could be the best audience for each campaign.
- He can easily identify the customer requirement so he delivers the perfect content to every customer.

Salesforce Einstein enables everyone to discover new ways, predict outcomes so help in decision making, recommend next steps, and automates most of your activities so that you can spend most of your time in building strong relationship with customers rather than making entries in system.

What will AI give me that I didn't already have?

Predictive scoring -Predictive lead scoring gives each sales lead a score representing the likelihood it will convert into an opportunity. You also get the reasons

behind the score - for instance the lead source, the industry, or some other factor is an especially strong indicator that a lead will or won't convert.

Forecasting -AI can also be used to predict the future value of something, like a stock portfolio or a real estate investment. If you're a sales manager, AI can predict your quarterly bookings and let you know ahead of time whether or not your team is on track to meet its quota.

Recommendations - Anyone who shops online knows that AI makes suggestions for retail purchases, but it can also make smart recommendations for any other product or service category from business software to tax consulting to cargo containers. And AI can also recommend things other than products - for instance, which white paper you should email a prospect in order to optimize your chance to close a deal.

Who can use AI in the enterprise

Anyone in organization can easily use AI to analyze their data, predict and plan next steps, and automate their tasks and decisions. With Einstein's comprehensive AI for CRM:

• Sales can anticipate next opportunities and exceed customer expectations by knowing what a customer needs before the customer does
• Service can deliver proactive service by anticipating cases and resolving issues before they become problems
• Marketing can create predictive journeys and personalize customer experiences like never before
• IT can embed intelligence everywhere and create smarter apps for employees and customers

What is Machine Learning

Machine learning is the core driver of AI. It's the concept of having computers learn from data with minimal programming.

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With the support of our professional business network, you get the opportunity to exchange experience and knowledge at a top professional level, and to strengthen and develop your own skills within your management and specialist areas.

Through business relationships and experience sharing in confidential settings for Finance Managing Director, we strive to create personal and business value for all our network peers.

Focus Group Interviews In Qualitative Research

In the last century, the world saw a massive revolution of innovation.

Beyond modern marvels such as digital advancements and the evolution of the smartphone, artificial intelligence is gradually changing society and how people navigate their lives. Machine learning is gradually being integrated into nearly every aspect of life.

It's already used in machine translation, email spam filters, ATM check depositing and facial recognition - and that's just what an average person uses day-to-day.

Predictive intelligence is making businesses more efficient, effective and successful. B2B companies deploying predictive intelligence for marketing activities are closer to the holy grail of understanding each individual customer - and personalizing all content to their needs and interests.

Technology not far from artificial intelligence is making a significant impact on the marketing industry. In fact, 86% of marketing executives have already indicated they have seen a positive return on investment in marketing technology and predictive analytics. The future of B2B marketing will focus on predictive analysis and intelligence, and have a major impact on lead scoring and content targeting.

The Transformation of Lead Scoring

Lead scoring is essentially a points system used to determine where your prospects are in the buying journey. The idea is to look at customers uniquely for a better understanding of what they looking for, what you can provide them with - and if they're likely to make a purchase.

Manually scoring leads, with this helpful guide, can be an excellent introduction to the strategy of fully comprehending customers. Assigning this responsibility to your B2B marketing team brings consistency, reliability and focus to a personalization approach.

Beyond manual lead scoring lies predictive lead scoring. This is a proactive way to accelerate the sales process by determining which customers are ideal based on past behaviors and purchasing history.

This takes into account other technologies, such as CRM or marketing automation, and demographic information to predict whom sales and marketing should be nurturing closely. Still done semi-manually, this method uses the insight from traditional lead scoring and blends it with modern ways of working.

In terms of the future of B2B marketing, predictive lead scoring using predictive intelligence is yet one step further. This is even more accurate than basic lead scoring, because of its correlation between patterns discovered in both a company's first-party data and general third-party trends.

It has also become the standard for most companies, especially technology-based businesses. A 2014 study revealed 90% of users agree predictive lead scoring provides more value than traditional approaches. The comprehensive nature of looking at customers holistically and integrating that insight into how you communicate with them can fast track your marketing efforts.

Given that artificial intelligence can predict the status of hundreds of prospects in a matter of minutes, marketers have everything to gain by using this technology.

A recent Gartner study concluded that predictive intelligence is a must-have for B2B marketing leaders. Just as marketing automation is being adopted widely within the marketing industry, predictive lead scoring is likely to follow.

The immediacy of reaching customers, understanding their needs and effectively determining their value to your company has created a necessary place for predictive intelligence in lead scoring.

The Power of Personalized Content Targeting

Predictive intelligence, an important component of predictive analytics, is also critical in learning which pieces of content to target to which customers. After predictive lead scoring reveals where each customer is and might be headed in the buying journey, you can glean insights from predictive analytics for establishing the tone, material and style of content each prospect will respond to most fervently.

An algorithm that determines the factors influencing a prospect can also pull the appropriate content. Just as you would send additional white papers to a manually-scored lead with interest in more in-depth material, this algorithm identifies the many customers to whom whitepapers would apply.

Sending the right content is just as important as creating it in the first place. Predictive analytics also leads to informed idea generation and content development.

Using predictive analytics in your content marketing takes careful consideration, but can be done successfully if you know the right data points to use and what to integrate into your existing strategy.

Seeing what content receives the most engagement and is most worthwhile to your prospects helps you tailor future content to those interests. Even with predictive analytics on your side to help you gain incredibly beneficial insights, it still takes a human to use the insight wisely and proactively.

Marketing professionals who work based on data, emotions and customer connections are the whole package in targeting content most effectively.

A.I. and the Future of B2B Marketing

Although artificial intelligence is not quite at the point of thinking, processing and completing tasks at the speed of a human brain, developments in the science of machine learning are getting closer to a complete takeover of this technology.

The existing uses of artificial intelligence within marketing is a good indication that the future of B2B marketing is bright - and that lead scoring and content targeting will be perfected as the technology matures.

With an already efficient system of analyzing data from thousands of sources to make sense of a single customer, predictive intelligence is making it possible for even small B2B companies to grow at rapid rates and expand their potential faster than traditional methods.

Networking has always been considered a powerful tool for improving business prospects, advancing a career, and developing ideas. Other than some brief, structured events, networking has been mostly informal and inexpensive in comparison to cost they otherwise spend on different channels. But membership is growing in many formal, long-term networking groups, and so is the price tag.

Our groups are not groups for generating sales leads, nor are they places where individuals can drop-in to gain quick advice on an immediate challenge.  Members also sign a confidentiality agreement and benefits from the guided mentoring to help each other.

These groups include an experienced facilitator and use a structured discussion method to ensure appropriate participation.