Management Network Business networking means establishing a mutually beneficial relationship with other business people and potential clients/customers. It refers to building and cultivating relationship with people of similar interests in ways that can benefit all parties.
People have been networking in Singapore for Management Network as long as they’ve been communicating. Effective networking is to make you known. Primary purpose of business networking is to tell others about your business and hopefully turn them into customers. Purpose of business networking is to increase business revenue. Business networking helps you eventually attain business growth and increase the profits.
You can use networking as a tool for finding customers, investors, staff, suppliers and business partners with minimal cost to business by being a part of any Management Network. Networking is important in business as it’s a means to form relationship with others that helps to grow your business. Business networking is one of the most effective marketing and prospecting tools you can use to grow your business.
Networking with TheNewHandshake is a socioeconomic business activity by which business people meet to form relationships, to create and act upon business opportunities, share info and seek potential partners for ventures.
Networking can be done via local/ regional/ international Business Networking Groups, Mastermind groups, Community service groups, Professional associations, and Social media/ online business networking groups.
Benefits of business networking:
- You gain new contacts and referrals, increasing your business. Help you identify opportunities for partnerships, joint ventures, or new areas of expansion for business. You get much higher quality leads.
- Visibility, as it helps keep you front and center in the minds of right people. This helps raise your profile.
- You stay current, keeping up with market conditions and overall trends in your industry.
- You find solutions to your business problems, such as financial problems and finding ideal candidate.
- You expand knowledge by taking advantage of the viewpoints and prior experience of others.
Internet age offers new Management Network networking tools. Online social networking sites have taken business networking to a new level. Many websites provide business-oriented social networking online. Some people also make good use of blogs for networking. Social networking sites help you reach out to people at your convenience, without having to attend events or meetings. But good business networking shouldn’t begin and end with online social networking. They don’t replace face-to-face networking.
Is Machine Learning Helping Marketers or Making Them Obsolete?
Hollywood paints a grim picture of a future populated by intelligent machines. Terminator; A Space Odyssey, The Matrix and countless other films show us that machines are angry, they’re evil and, if given the opportunity, they will not hesitate to overthrow the human race. Films like these serve as cautionary tales about what could happen if machines gain consciousness (or some semblance of). But in order for that to happen humans need to teach machines to think for themselves. This may sound like science fiction but it’s an actual discipline known as machine learning.
Still in its infancy, machine learning systems are being applied to everything from filtering spam emails, to suggesting the next series to binge-watch and even matching up folks looking for love.
For digital marketers, machine learning may be especially helpful in getting products or services in front of the right prospects, rather than blanket-marketing to everyone and adding to the constant noise that is modern advertising. Machine learning will also be key to predicting customer churn and attribution: two thorns in many digital marketers’ sides.
Despite machine learning’s positive impact on the digital marketing field, there are questions about job security and ethics that cannot be swept under the rug. Will marketing become so automated that professional marketers become obsolete? Is there potential for machine learning systems to do harm, whether by targeting vulnerable prospects or manipulating people’s emotions?
These aren’t just rhetorical questions. They get to the heart of what the future of marketing will look like — and what role marketers will play in it.
What is Machine Learning?
You can think of machine learning as using a computer or mathematics to make predictions or see patterns in data. At the end of the day, you’re really just trying to either predict something or see patterns, and then you’re just using the fact that a computer is really fast at calculating.
You may not know it, but you likely interact with machine learning systems on a daily basis. Have you ever been sucked into a Netflix wormhole prompted by recommended titles? Or used Facebook’s facial recognition tool when uploading and tagging an image? These are both examples of machine learning in action. They use the data you input (by rating shows, tagging friends, etc.) to produce better and more accurate suggestions over time.
Other examples of machine learning include spell check, spam filtering even internet dating - yes, machine learning has made its way into the love lives of many, matching up singles using complicated algorithms that take into consideration personality traits and interests.
How Machine Learning Works?
While it may seem like witchcraft to the layperson, running in the background of every machine learning system we encounter is a human-built machine that would have gone through countless iterations to develop.
Facebook’s facial recognition tool, which can recognize your face with 98% accuracy, took several years of research and development to produce what is regarded as cutting-edge machine learning.
So how exactly does machine learning work? Spoiler alert: it’s complicated. So without going into too much detail, here’s an introduction to machine learning, starting with the two basic techniques.
Supervised learning systems rely upon humans to label the incoming data - at least to begin with - in order for the systems to better predict how to classify future input data. Gmail’s spam filter is a great example of this. When you label incoming mail as either spam or not spam, you’re not only cleaning up your inbox, you’re also training Gmail’s filter (a machine learning system) to identify what you consider to be spam (or not spam) in the future.
According to Tommy, this type of machine learning can be likened to the relationship between a parent and a young child. When a child does something positive they’re rewarded. Likewise, when “[a machine] gets it right - like it makes a good prediction - you kind of give it a little pat on the back and you say good job.”Like any child (or person for that matter), the system ends up trying to maximize the positive reinforcement, thus getting better and better at predicting.
Unsupervised learning systems use unlabeled incoming data, which is then organized into clusters based on similarities and differences in the data. Whereas supervised learning relies upon environmental feedback, unsupervised learning has no environmental feedback.
The Power of Machine Learning
A lot of what machine learning can do is yet to be explored, but the main benefit is its ability to wade through and sort data far more quickly and efficiently than any human could, no matter how clever. Tommy is currently experimenting with an unsupervised learning system that clusters landing pages with similar features. Whereas one person could go through a few hundred pages in a day, this model can run through 300,000 pages in 20 minutes.
Machine Learning and the Digital Marketer
As data becomes the foundation for more and more marketing decisions, digital marketers have been tasked with sorting through an unprecedented amount of data. This process usually involves hours of digging through analytics, collecting data points from marketing campaigns that span several months. And while focusing on data analysis and post-mortems is incredibly valuable, doing so takes a significant amount of time and resources away from future marketing initiatives.
As advancements in technology scale exponentially, the divide between teams that do and those that don’t will become more apparent. Those that don’t evolve will stumble and those that embrace data will grow — this is where machine learning can help.
That being said, machine learning isn’t something digital marketers can implement themselves after reading a quick tutorial. It’s more comparable to having a Ferrari in your driveway when you don’t know how to drive standard or maybe you can’t even drive at all.
Until the day when implementing a machine learning system is just a YouTube video away, digital marketers could benefit from keeping a close eye on the companies that are incorporating machine learning into their products, and assessing whether they can help with their department’s pain points. So how are marketers currently implementing machine learning to make decisions based on data rather than gut instinct? There are many many new niches in marketing that are becoming more automated.
Networking can be a waste of time if done incorrectly. Trading business cards with dozens of people, sending mass email blasts, racking up hundreds of friends on social media may not accomplish much.
Although increased sales is the end goal, don’t participate in business networking to sell. Successful networks build relationships. Find and develop relationship with people. At TheNewHandshake we believe networking can be a very powerful tool in enhancing your ability to lead and influence other people, but only when you provide value to the people in your network.
Develop a network before you need it. Stay in touch. Cultivate respect and trust. Be genuinely interested. Choose the right group. Be responsive and develop relationship.