Tag: machine learning

Unleashing the Power of AI
Artificial Intelligence (AI) has transformed from a buzzword to a practical reality, revolutionizing numerous industries across the globe. With its ability to process vast amounts of data, learn from patterns, and make intelligent decisions, AI has become an invaluable tool for businesses seeking innovation, efficiency, and competitive advantage.

In this brief, we will explore real-life use cases of AI, differentiate it from machine learning, AGI, and NLP, discuss potential job transformations, and shed light on the limitations and dangers that come with its implementation.

The key to artificial intelligence has always been the representation
Jeff Hawkins

Defining AI, Machine Learning, AGI, and NLP:

Before diving into the applications, it’s crucial to clarify the distinctions between AI, machine learning (ML), artificial general intelligence (AGI), and NLP. AI refers to the broader concept of machines imitating human intelligence, enabling them to perform tasks that typically require human intelligence, such as problem-solving, decision-making, and natural language understanding.

On the other hand, ML is a subset of AI that focuses on algorithms and statistical models that allow systems to learn from data without being explicitly programmed.

AGI, often considered the next step beyond AI, represents machines with the ability to understand, learn, and apply knowledge across multiple domains, akin to human-like intelligence.

There is, also a less-mentioned subfield of artificial intelligence that focuses on the interaction between computers and human language. This ‘system’ encompasses the ability of machines to understand, interpret, and generate natural language in a way that is meaningful and useful.

Known as Natural Language Processing (NLP), it combines techniques from linguistics, computer science, and machine learning to enable computers to process, analyze, and respond to human language.

Some applications of NLP:
- Virtual Assistants: Virtual assistants like Apple’s Siri, Amazon’s Alexa, and Google Assistant utilize NLP to understand voice commands and respond appropriately. They can perform tasks like setting reminders, playing music, providing weather updates, and answering questions.
- Sentiment Analysis: NLP techniques are used to analyze and determine the sentiment expressed in text, such as social media posts, customer reviews, or survey responses. This information is valuable for businesses to understand public opinion, customer satisfaction, track trends, and brand perception.
- Language Translation: NLP is widely used in machine translation systems like Google Translate. These systems employ sophisticated algorithms to process input text in one language and generate the corresponding translation in another language.
- Chatbots: NLP is essential in creating intelligent chatbots that can understand and respond to user queries. Chatbots are employed in various applications, including customer support, information retrieval, and virtual assistance.
- Information Extraction: NLP techniques enable the extraction of structured information from unstructured text. This is particularly useful in fields such as data mining, knowledge management, and content analysis.
- Spam Filtering: NLP plays a vital role in email spam filters by analyzing the content and language patterns to identify and block unwanted or malicious emails.
- Voice Recognition: NLP powers voice recognition technology, allowing systems to convert spoken words into written text. This technology is used in applications like transcription services, voice assistants, and voice-controlled devices.
- Medical Text Analysis: NLP is utilized in healthcare to analyze medical literature, patient records, and clinical notes. It helps in extracting valuable insights, automating administrative tasks, and supporting medical decision-making.
- News Summarization: NLP algorithms can summarize large volumes of news articles or documents, providing users with concise and informative summaries.
These are just a few examples of how NLP is applied in various domains. Its versatility and potential continue to grow as researchers and developers explore new ways to leverage human language for improved communication and understanding between humans and machines.

Some Real-World AI Applications in Industry

Courtesy of Pixabay

Healthcare: AI is revolutionizing healthcare by enhancing diagnostics, personalized medicine, and patient care. Companies like Zebra Medical Vision utilize AI algorithms to analyze medical images, improving the early detection of diseases like cancer. AI-powered virtual assistants also assist doctors in accessing patient information quickly, reducing administrative burdens.

AI-Generated Factory. Courtesy of Pixabay

Manufacturing: Smart factories are embracing AI to optimize production processes, quality control, and predictive maintenance. Companies like Siemens leverage AI algorithms to predict machine failures and prevent downtime, ensuring efficient and uninterrupted operations. AI-driven robots and cobots are streamlining repetitive tasks, improving productivity and employee safety.

Courtesy of Pixabay

Finance: AI is transforming the finance sector by automating manual tasks, detecting fraud, and improving investment decisions. For instance, PayPal utilizes AI to detect suspicious transactions and prevent fraud in real-time. Robo-advisors powered by AI algorithms analyze vast amounts of financial data to offer personalized investment recommendations to individuals.

Courtesy of Pixabay

Transportation: The transportation industry is harnessing AI to enhance safety, efficiency, and sustainability. Self-driving vehicles leverage AI to perceive their surroundings and make real-time decisions, reducing accidents and traffic congestion. Ride-sharing platforms like Uber employ AI algorithms to optimize route planning, reduce waiting times, and enhance the overall customer experience.

Courtesy – Apple Inc

Design/Entertainment: Overall, AI has significantly impacted the design and entertainment industries by providing new tools, enhancing creativity, improving user experiences, and streamlining various processes. The experiences can thus be enhanced and simplified in Generative Design, UX Design, Data Visualization, Game Development & Virtual Reality (VR), and Augmented Reality (AR) – the Metaverse particularly comes to mind here. Apple’s new ‘Vision Pro’ augmented reality headset is ‘the most advanced’ device to date.

Job Transformations

While AI promises immense benefits, there are concerns about job displacement. Routine, repetitive tasks are likely to be automated, leading to changes in the job market. However, AI also creates new opportunities by augmenting human capabilities. Instead of replacing jobs, AI has the potential to transform them, enabling us to focus on complex problem-solving, creativity, and empathy-driven tasks.

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Limitations and Dangers

As with any technology, AI has its limitations and potential risks. AI systems heavily rely on data quality, and biased or incomplete datasets can lead to inaccurate outcomes or reinforce societal biases. Ensuring ethical AI practices and addressing algorithmic bias is crucial. Moreover, AI lacks human-like common sense and reasoning abilities, making it prone to errors in unfamiliar situations. The ethical implications of AI, such as privacy concerns and potential misuse of personal data, also require careful consideration.

Afterthoughts

The practical and realistic use of AI has already begun reshaping various industries, unlocking new possibilities, and transforming how businesses operate. By embracing AI, organizations can streamline processes, improve decision-making, and unlock insights from massive amounts of data. However, it is essential to navigate the limitations, address ethical concerns, and ensure a human-centric approach to AI implementation.
8 June 2023
2019 in Tech

This year may have felt like it was dominated by political shenanigans, but technology also had its wild ride.

The USA vs Huawei

A story that has persisted throughout the year is the heat around Huawei in the US. The Americans have stopped Huawei phones from being sold in their country because they say the Chinese mobile phone maker has stolen technology from American companies and has spied on them.

The tussle began in 2018 but kicked into gear in 2019. Nevertheless, some American companies and organisations are still doing business with Huawei despite the ban by US President Trump’s government.

The President of Microsoft, Brad Smith, also wants to the US government to offer more evidence to back up its Huawei ban.

The core issue with Huawei has been around concerns with Huawei’s close relationship with the Chinese government and fears that its equipment could be used to spy on other countries and companies.

Huawei has also hit back at US ‘bandwagon followers’ and recently threatened to boycott Germany’s Auto industry if the European powerhouse banned them from offering 5G (broadband) in the country.

Not a great year for big tech

Big technological companies like Facebook, Alphabet, Google and Uber have faced a barrage of probes in 2019 be it around anti-competitive behaviour, spying on customers or their staff abusing customers. We also haven’t seen many new companies graduate to super-size status.

After a long drought of big-name tech IPO (initial public offerings), 2019 promised to be a banner year. A crop of highly anticipated, highly valued tech companies — with hot marquee names such as Lyft, Uber, Pinterest, and Slack listed on the public markets. The idea was to allow you to take a stake in their business.

Their reception, however, was truly tough. These companies’ stocks have not gained momentum and being listed has attracted greater public scrutiny.

The biggest disappointment, however, must be WeWork’s failed proposed listing and its subsequent business fallout.

The hottest things in tech

Artificial Intelligence (AI) – We’ve been talking about this for decades since Terminator came out but scientists are managing to harness the technology especially in manufacturing and medical fields.

Most of the top tech companies (Microsoft, IBM, Amazon, and Google) have already embraced AI. Many tout it as one of the main distinguishing features to set them apart competitively.

A little of this tech has gone into robotics with much fanfare and fear over their capabilities and propensity to ‘initiate a judgement day’. Check out Boston Dynamics

Bitcoin

Blockchain – Bitcoin may be highly volatile and not the get rich quick scheme people thought it could be, but it is still out there. Clever people are finding ways of making commerce more efficient.

There are however several practical and use-cases for Blockchain-based tokens and tech other than for payments and investments.

Robotic Process Automation (RPA) – this is a technology that could explode in 2020. Right now, only large enterprises are using RPA but it could become more affordable and workable for smaller businesses in 2020. RPA is the process of automating mundane tasks such as taking data from one file and entering it into a business application like CRM software.

It’s about computerizing repetitive tasks that are an inefficient use of time, so it makes our lives more efficient.

RPA is not a physical robot. It is also an approach to working across multiple business applications and entering, maintaining, migrating, integrating, mining and testing data on spreadsheets.

These tasks are prone to human error which is why computerizing them makes so much sense.

Virtual Reality and Augmented Reality – VR made strong progress in 2019. This was most useful in gaming, real estate companies, pornographic entertainment and for people with disabilities.

For you gamers – it is best to buy an Oculus Quest for your PC. Sony’s VR headset is still the best and only gaming set.

Look after my data – or not!

The first fines around the General Data Protection Regulation (GDPR) were lodged in parts of the EU. The GDPR was promulgated in 2016. It is a regulation in EU law on data protection and privacy for all individual citizens of the EU and the European Economic Area.

It also addresses the transfer of personal data outside the EU and EEA areas. GDPR was enforced because of concerns about data breaches and attacks on privacy by the likes of Facebook and Google.

Then there were concerns our banks, insurance, and other data keepers were selling or losing our data to dangerous entities.

The types of personal data exposed included your names, addresses, phone numbers, email addresses, and even passport numbers.

Lessons learned

The Marriott hotel group’s data breach of 2018 resulted in the exposure of 339-million customer records. Around 30-million of the records belonged to European Union citizens, and therefore they were subjected to a GDPR fine.

Facebook seems to love controversy and had been found to have allowed a massive 247 million user (mostly Americans) data leak.

Back home in Berlin, on October 30th the Berlin Commissioner for Data Protection and Freedom of Information issued a €14.5m fine on a German real estate group, die Deutsche Wohnen SE. This was the highest German GDPR fine yet. The infraction related to the over retention of personal data.

Despite the turbulent year for tech companies and consumers, we look to 2020 with breathless anticipation. We also ponder on which of the mentioned technologies will stick out and make a positive impact on our lives.

Pictures courtesy of Pixabay

22 December 2019
Digitization of the Workplace

Let’s face it: we’re accustomed to instant gratification in the Internet Age. With the expansion of technology, Amazon order confirmations arrive in email inboxes instantaneously, while hungry customers track the location of their much-awaited pizza delivery each step of the way.

Instant gratification is a sign of the times!

Likewise, if you want to run a sustainable, profitable business in 2019, then digitization is not only useful– it’s necessary. And it’s easier than you think.

Did you know that 30 percent of tasks involved in over half of all jobs could be automated using technology that exists right now?

According to McKinsey & Company, a global management consultancy firm, this number will grow even higher as technology develops–which is great news for your business, your employees, and your profits.

And no, we’re not talking about robots coming to take over your job (although some pretty cool robots exist). From automatic “Abandoned Cart!” emails to payroll and employee onboarding, automation is already a mainstay of modern organizations.

So, looking for inspiration? Here’s just a few of the amazing ways to automate your business.

AI Technologies

Artificial intelligence is taking over the world–and it should be taking over your daily processes. Machine- and deep-learning AI provides a cost-effective solution for both carrying out mundane day-to-day tasks and engaging with customers.

For example, AI-powered bots are revolutionizing customer service abilities by providing 24/7 assistance for regular inquiries and troubleshooting.

Meanwhile, SiriusDecisions, an industry analyst firm, found that sales reps spend only about one-quarter of their entire work week actually selling to customers. The rest of the time–approximately 27 hours each week–is spent on administrative tasks like data entry.

These duties tend to consume a lot of time and energy. Instead, by automating the process, employees could spend their time closing deals and making connections to new leads and investors.

Customer & Employee Relations

At its core, CRM, or customer relationship management, includes all the technologies and strategies involved in these relationships, like email marketing, telephone calls, mail, and social media marketing

If it sounds like a lot — well, that’s because it is. Manually logging all customer data (accurately) throughout the sales funnel is time-consuming and subject to human error. It’s also nearly impossible to maintain communications with every single lead. In those cases, both the business and the customer suffer.

Thanks to automated email responses, data collection, and communications, these problems are a relic of the past. According to a study by Enterprise Apps Today, over 60 percent of respondents believe that automation boosts customer experience. Digitization not only eases business processes, but it improves B2C ( business-to-consumer) relationships, too.

Boost Cybersecurity

Hackers and cybersecurity threats are growing more complex and common every day. Automating your data security systems with AI machine learning can provide a base level of protection while freeing up IT professionals to focus on progressing your business’ systems or confronting only the most complex of threats.

Read more about Cybersecurity here

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Reduce Setup Costs

According to McKinsey, digitizing data-heavy processes within businesses can cut costs by up to 90 percent. You can automate everything from employee and customer onboarding, legacy-system integration, data migration, and far more.

Although the initial implementation of automation can take time, effort and money, the payoff is well worth the investment.

Where Should You Start?

To figure out where to start digitizing your business, there are a few questions you should be asking yourself, like: what would improve my customer’s experience and, how can I better communicate with customers?

Further questions such as: which tasks can I automate to save time and cut costs; and finally, how you can ease the daily tasks of your employees in order to better utilize their skills (productivity) are also important points to consider.

Whether you begin with cybersecurity, automating payroll and onboarding, or equipping your site with AI-powered technology, digitizing your small business will lead to happier employees, satisfied customers and a profitable structure for the future.

30 August 2019
A digital address for everything

The ‘Internet of Things’ (IoT) as the name suggests is basically connecting as many devices online for them to communicate with each other.

If you think that is a far-fetched concept it is nothing new. We have been using it since the advent of GSM, Infrared, GPS, GPRS, Bluetooth, Wi-Fi, and other wireless connections.

To put the concept into further context, your Smartphone/watch, Bluetooth headset, wireless printer, or smart fridge are all components of the ‘Internet of Things’. They all require a sensor or chip to connect or collaborate with each other.

Origins

The term was supposedly coined about a decade ago. This when a company executive discussed an idea which sounded bizarrely unnecessary and over-futuristic at the time.

He advocated for the need for a chip for every electronic device. The initially requirement was for supply chain and automation in the retail industry.

Fast forward to today, and this has indeed come to fruition. We now have smart cars, smart homes and even tracking chips inserted into pets!

So, each component or part of the object is equipped with an individual chip (small processor) with a unique IP address.

The very same IP address used to identify your home modem or Office server.

IoT application

Why would you want that you might ask? Wouldn’t it be useful for devices and machines to work things out by themselves – to solve complex problems before you even become aware of them?

This is in fact how the devices communicate with the central server to relate pertinent information. An example is the use of fuzzy logic: to regulate the temperature in the fridge (to avoid food getting moldy).

It can be used, in addition, to check the amount of water used in a washing cycle in your washing machine.

Another practical use would be to check car tyres pressure and temperature (to avoid overheating and bursting).

Can you then imagine the number of chips that are required for the typical household? For the car, security alarm, fridge, microwave, tumble dryer, TVs, Radios, computers/tablets, lighting, and heating/cooling system? Each would require a unique IP address

IP address shortage

Talks about IoT highlighted the need for more IP addresses and a need to track or generate them. This as it is evident we are running out of ‘normal’ IP addresses known as IP4: 4 denotes the number of billion IP addresses available.

At the birth of the Internet age in the 1980s, no one ever envisioned a time when the world would need more than four million IP addresses. But with the need as mentioned above for the internet of things – that has come to pass.

Without getting too technical, the issue is being resolved with the development of a newer IP system known as the IP6.

The main difference between the two but it is merely that one is on 32-bit system while the newer on 128-bit and that influences merely the length of the addresses.

Again, the technicalities would only matter to the now growing IoT industry and would not affect us as individuals.

Practical uses of IOT

Large companies that need to manufacture a lot of parts for their devices would need to insert an IP address on each piece. From items as trivial as the car side-mirror; to more serious parts like the helmet of a sportsperson engaging in the heavy contact sport.

From an education perspective, the IoT can make learning a lot more fun for kids and young adults. Toy-maker Sphero, for example, has been long making wireless operated toys like its SPRK+(pictured).

The idea is to fuse physical (programmable) robotic toys with digital apps.

This would simultaneously provide entertainment experiences while inspiring tomorrow’s leaders in maths, engineering, and science.

There are discussions to extend this connectedness to human beings. Much like was prophesied in many sci-fi books and George Orwell’s 1984. If there was a ‘rise of the machines’, and Artificial Intelligence was to take over the control of all our devices, we would not stand a chance!

There are also a few new decentralized systems that are even advocating for a fragmented Internet for that very reason (security and privacy). This would enable you to control your little space within the “interconnected” web.

You can thus run a (private) local area network (LAN) within the Internet domain – if that makes any sense.

Blockchain advocates and companies like IOTA and Chinese-based Crypto-firm Tron are pushing the IoT narrative hard. They also want the decentralization of the whole Internet.

It is only a matter of time before this becomes the norm. Companies are now queuing to get the IP6s and have incorporated adding them to the manufacturing processes.

Once the security and privacy issues have been adequately planned and implemented. The pros of the full adoption of IoT will outweigh the cons.

22 November 2018
Vocations of the Future

There is a lot of banter, which is backed up by well-research papers on how Automation and Robotics (powered by AI) will replace manufacturing jobs.

Blue-collar jobs are not the only ones however, that face imminent and progressive extinction.

A recent survey report conducted by the World Economic Forum predicts futuristic trends affecting certain jobs in the modern workplace.

Robert Solow predicted decades ago, in his Solow-Swan model, a massive driving force of global growth: technology.

And the evidence is prevalent with the likes of Apple, Google, and Amazon championing stock markets with Billion-dollar market capitalizations. They also create an abundance of jobs globally.

Disruptive technological advances such as AI (Artificial Intelligence); the ubiquitous high-speed mobile Internet (5G); widespread adoption of big data analytics; cloud technology; and the recent Blockchain technology will be the drivers of this job evolution.

Based on the report, by 2022, this job evolution will be firmly in place as it has already.

In a matter of just 4 years, we could have a situation where jobs such as postal service clerks, data entry clerks, and bean-counters (accountants and auditors) would be made redundant.

Impact on services

Software like Microsoft’s Dynamics 365, aims to remove ‘silos’ within customer relationship management (CRM) and enterprise resource planning (ERP) processes.

The latter takes over (fully automates) back-office operations such as stock-taking and supply chain management.

Such tasks will be performed via software, reducing the need for more human supervision. Consequently, the focus would be more on managerial roles.

In the sales and customer service realm, technologies like Microsoft’s AI will provide automated insights to guide employees on improving customer experiences.

Furthermore, it may lower support costs by using virtual agents or Chatbots to eliminate in-house AI experts and those writing code. This will result in more redundancies!

On a positive note, newer and more exciting jobs such as data analysts, machine learning and AI specialists, digital transformation experts and in general information system services will be on the rise – up to 135 million globally, according to the Report.

The fields to benefit directly from new technologies would be information technology; information security; innovation; customer services and risk management (financial services).

Impact on finance

Another group of professionals whose nature of work will be affected due to the advent of ‘disruptive technology‘ is financial middlemen. Likewise, smaller banks and money transfer institutions.

Decentralized systems were primarily put in place to eradicate exorbitant fees associated with transferring money across borders.

Cutting them out completely undoubtedly renders them redundant. It is therefore pertinent for them to innovate their products in order to open up sufficient job position.

Read more about the effect of Cryptocurrencies on the banking sector here

Recently, Malta’s finance minister whilst in a private interview during a Blockchain Conference, echoed this. He said that the advent of cryptocurrency has changed financial middlemen into traditional “photo developers”.

“I can see this, just like in photography when you could tell that […] those who process the photos will lose their jobs; a lot of financial intermediaries will be facing the chop in the not too distant future,” says Edward Scicluna.

The good news for governments will be that the trend shows that the jobs created will surpass those lost.

Be proactive and skill yourself accordingly or get the right personnel who can quickly adopt some of the mentioned skills so that you do not fall behind!

7 October 2018
The Impact of AI, Machine Learning & Automation on Businesses
We are living in exciting and innovative times with futuristic technology literally at our fingertips. But for the longest time, small to medium-sized businesses were not serviced by the latest tech trends enterprises have been able to benefit from. That is, until now. This piece explores these technology trends and how they will impact business in 2018 and beyond.

So, what kind of things can this ‘smart’ tech do? Just 4 months ago, an AI machine managed to complete a University level math exam 12 times faster than it normally takes the average human. How? Through the art of machine learning; where computers learn and adapt through the experience without explicitly being programmed.

Furthermore, Facebook made headlines earlier this year when their chatbots created their own language. Some Fake News stories claim that the engineer’s pulled the plugin a panic as they were getting too smart. However, the truth is that for Facebook’s purposes the chatbots needed to stick to English rather than developing their own shorthand. Their machine learning chatbots did nevertheless, create their own language outside their explicit programming.

This evolving area of computer science is the future for service businesses, and it’s already affecting the way we live and work today. In fact, research firm Markets and Markets estimates that the machine learning market will grow from $1.41 billion in 2017 to $8.81 billion by 2022!

So buckle up because these technology trends will affect every part of your business, from marketing to operations all the way through to payroll and here’s how.

Marketing Gets Smarter with AI and Machine Learning

AI and Social Media Marketing

In April 2017, CRM software provider, Salesforce conducted a study of marketing leaders worldwide, and the results were mind-blowing. Respondents said they expect to see improvements in efficiency and advancements in personalization over the next five years. More than 60 percent of marketers also envision leveraging AI to create dynamic landing pages, websites, programmatic advertising and media buying.

The main way AI will affect marketing is through nurturing leads through social media. But how? Through personalized, real-time content targeting that produces 20 percent more sales opportunities. With behavioural targeting methods, AI will be able to locate and start the nurture process, for example, a marketing stack that employs AI algorithms might learn that a specific buyer who checks into LinkedIn on Monday mornings has recently started looking for a new CRM tool. The software can then suggest (or even create) targeted posts to be published on the days and times that they’ll see them: one that asks their requirements of the software and another follow up piece with a comparison of the CRM ecosystem.

Currently, savvy marketers that are using social listening as way to nurture leads don’t have the necessary enhancement of AI and is, therefore, time-consuming, manual and not in real-time. So how do you start to get ready for this type of future content marketing distribution?

Firstly, you will need to have your buyer personas (using the consumer black box theory ) well defined. Taking a solid look at your CRM will give you tons of hints for content that will get qualified leads to respond. By taking a step back and analyzing your channel’s content (like emails, phone calls and social media messages) you will start to get the right kind of insights that will prompt a lead to take the next step into the second phase of your sales funnel. For instance, a C-Suite executive might respond best to data-driven whitepapers and infographics to peak their interests, whereas a fellow marketer might be more suited for an interactive case-study or video.

The only way to get these kinds of insights is to do a deep dive into your CRM platform and conduct a thorough review of customer details – using semantic analysis to understand the level of buying intent behind the words your qualified prospects use.

Hot tip: Starting to run your analysis now and developing strong personas will be key to implementing AI algorithms to your social media in 2018 and beyond.

Marketing and Machine Learning

Put simply, machine learning is about understanding data and statistics. It’s a technical process where computer algorithms find patterns in data, then predict probable outcomes – like when your email determines whether a particular message is spam or not depending on words in the subject line, links included in the message, or patterns identified in a list of recipients. This is a perfect example of how machine learning can be applied in marketing to optimize for successful campaigns.

Businesses can also use machine learning to up-sell the right product, to the right customer, at the right time. In 2018, marketers will continue to rely on machine learning to understand open rates when it comes to email – so you know exactly when to send your next campaign to increase click-through rates and ROI. The next big thing? It might sound small but ticket tagging and re-routing can be a massive expense for small businesses – costs that can be saved with machine learning.

Having a sales inquiry automatically end up with the sales team, or a complaint end up instantly in the customer service department’s queue, is going to save companies a lot of time and money, and this is all being made possible with modern technology.

And while solving issues in record time and delivering successful email campaigns is great, this is just the beginning.

Here’s what else to expect in 2018:

E-Commerce Reaches New Heights

You’ve been shopping for a new pair sunglasses on Amazon, then before you know it, your Facebook feed is filled with multiple eyewear ads and related trends for summer: this is machine learning. In fact, this example of analyzing data based on a user’s purchase history or online shopping behaviour is the future for e-commerce.

Retail companies are also tracking what ads or images you’re most likely to stop scrolling on, in order to target you with specific content. For example, if you always click on ads that contain happy women and some text, then a machine will log this as preferred content so that you are only targeted with ads that fit this description. Machines can also track what time of day you are most active on Facebook, Instagram, Twitter and/or Pinterest, in order to present these ads to you at an optimal buying time.

Then when it’s time to purchase, machine learning is applied to reduce the risk of credit fraud in small businesses. How? Machines learn from historical datasets that contain fraudulent transactions and can identify patterns that represent a typical fraudulent transaction – similar to the way spam emails are detected and deterred. Machine learning will start to affect other parts of your business funnel as well, just take a look at the rise of Chatbots.

Integrating Chatbots

There was a time in which chatbots were only thought of as manmade pests on the Internet, but through machine learning, they are getting smarter and businesses are embracing them en mass.

In 2018 and beyond, chatbots will play a key role in the future of customer service. Why? Chatbots can help achieve a faster customer service resolution, as well as provide quick histories of each customer for impeccable customer service. There are some key benefits that chatbots have over solely human interactions:
- Giving 24/7 customer service: The great things about machines? They don’t sleep! Coupled with the fact that chatbots are getting sophisticated enough to recognize human emotions such as anger, confusion, fear and joy. So should a chatbot encounter negative sentiments from the customer, they can seamlessly transfer to a human to take over and finish assisting the customer.
- The era of being ‘on hold’ is gone: A huge barrier to providing excellence in customer service is long wait times. How many times have you tried to get customer service from Comcast (or any TV/Internet provider) and you are getting progressively more frustrated with the wait times? This can all be eliminated with chatbots!
- Quick access to customer data makes service more personal: One thing that humans will never be better at than chatbots is quickly digesting customer data and history to provide context to customer questions. Chatbots excel at collecting customer data from support interactions. They can serve as virtual assistants that can feed customer data to your customer service officers so they have a full history of each account quickly.
This emerging tool for businesses already has significant buy-in from thought leaders around the globe. In fact, Larry Kim, Founder of Wordstream, is all in on chatbots as he has started his own company where his bots are currently in beta. With this move, it will be interesting to see how businesses will leverage robots throughout other aspects of their business. The final trend we’ll explore is Automation and how it affects businesses today.

Automation now and beyond 2018

Though Machine Learning and AI are hot topics in the tech world, it is not to a point that small to medium size businesses can leverage it in the immediate future. But there is still hope for them with automation. Powered by the Cloud, this type of technology has already revolutionized Marketing and Sales workflows and interactions but it is also starting to touch the various other parts of a business. For example:

Operations Automation

Once you win an important sale, you’ve got to deliver the product or service you’ve promised to the client. What does that process look like for most businesses now? You all will have a kick-off meeting and hope to cover all the promises that marketing and sales have given to your client.

However, with the use of operations automation and a powerful CRM, you will be able to read the interactions and see all the various touch points a client had with your company before that kick off call even happens. This will give all service businesses a head start in providing great client relations and managing expectations. This category of SaaS products is called Service Operations Automation, or ServOps for short.

Accounting Automation

If there is one data-entry heavy department it would be Accounting. The problem is that as humans, we are fallible and much slower at data entry than a machine. Innovations with bank feeds, rules-based categorization and integrated payments have dramatically reduced the workload of clerical and bookkeeping staff and given business owners more timely access to accurate financial information for their businesses.

Research, done by Xero, (a popular financial software provider) suggests that by 2020, automation will be commonplace in accounting, and a significant number of finance professionals will be using the next level of analytical tools to help them add value to business models across the globe.

Payroll/HR Automation

Finally, the Cloud and Automation have come to the Payroll and Human Resources sector. These important areas of a business too often suffer because small businesses aren’t big enough to afford a full-time HR department. What’s the alternative? Having only part-time efforts of founders and principals which can often lead to serious risk to the business.

For instance, Zenefits will automatically submit forms to the national tax authorities on the behalf of companies. With new automation technology, compliance is automated by platforms and the effort of keeping time-off approvals in sync with PTO balances and payslips becomes a thing of the past.

In the near future, we will see the rise of great technology, powered by the Cloud, Automation, AI and Machine Learning. This truly is the start of the Golden Age of Information Technology and it is time for businesses to take a hard look at their organizations and find ways to start integrating these tech trends.

This is a slightly shortened re-blog from a marketing post on Tenfold.com *

*This post was guest-authored by Tara Callinan and Jenneva Vargas from Accelo
23 July 2018
Impact of Automation on Business
We are living in exciting and innovative times with futuristic technology literally at our fingertips. But for the longest time, small to medium-sized businesses were not serviced by the latest tech trends enterprises have been able to benefit from.

That is, until now. This piece explores these technology trends and how they will impact business in 2018 and beyond.

So, what kind of things can this ‘smart’ tech do? Just 4 months ago, an AI machine managed to complete a University level math exam 12 times faster than it normally takes the average human.

How? Through the art of machine learning; where computers learn and adapt through the experience without explicitly being programmed.
Furthermore, Facebook made headlines earlier this year when their chatbots created their own language. Some ‘fake news’ stories claim that the engineer’s pulled the plugin a panic as they were getting too smart.

However, the truth is that for Facebook’s purposes the chatbots needed to stick to English rather than developing their own shorthand. Their machine learning chatbots did nevertheless, create their own language outside their explicit programming.

This evolving area of computer science is the future for service businesses, and it’s already affecting the way we live and work today. In fact, research firm

Markets and Markets estimate that the machine learning market will grow from $1.41 billion in 2017 to $8.81 billion by 2022!

So buckle up because these technology trends will affect every part of your business, from marketing to operations all the way through to payroll, and here’s how.

AI and Social Media Marketing

In April 2017, CRM software provider, Salesforce conducted a study of marketing leaders worldwide, and the results were mind-blowing. Respondents said they expect to see improvements in efficiency and advancements in personalization over the next five years.
More than 60 percent of marketers envision leveraging AI to create dynamic landing pages, websites, programmatic advertising and media buying.

AI will affect marketing by nurturing leads through social media. But how? Through personalized, real-time content targeting that produces 20 percent more sales opportunities.

With behavioural targeting methods, AI will be able to locate and start the nurturing process. For example, a marketing stack that employs AI algorithms might learn that a specific buyer who checks into LinkedIn on Monday mornings has recently started looking for a new CRM tool.

The software can then suggest (or even create) targeted posts to be published on the days and times that they’ll see them.

Currently, savvy marketers that are using social listening as a way to nurture leads don’t have the necessary enhancement of AI. This is, however, time-consuming, manual, and not in real-time.
So how do you start to get ready for this type of future content marketing distribution?

Firstly, you will need to have your buyer personas (using the consumer black box theory ) well defined. Taking a solid look at your CRM will give you tons of hints for content that will get qualified leads to respond.

By taking a step back and analyzing your channel’s content (like emails, phone calls, and social media messages) you will start to get the right kind of insights. The ones that will prompt a lead to take the next step into the second phase of your sales funnel.

For instance, a C-Suite executive might respond best to data-driven whitepapers and infographics to peak their interests, whereas a fellow marketer might be more suited for an interactive case-study or video.
The only way to get these kinds of insights is to do a deep dive into your CRM platform and conduct a thorough review of customer details – using semantic analysis to understand the level of buying intent behind the words your qualified prospects use.

Hot tip: Starting to run your analysis now and developing strong personas will be key to implementing AI algorithms to your social media in 2018 and beyond.

Marketing and Machine Learning

Put simply, machine learning is about understanding data and statistics. It’s a technical process where computer algorithms find patterns in data, then predict probable outcomes. An example is when your email determines whether a particular message is spam or not depending on words in the subject line, links included in the message, or patterns identified in a list of recipients.

It’s the perfect example of how machine learning can be applied in marketing to optimize for successful campaigns.

Businesses can also use machine learning to up-sell the right product, to the right customer, at the right time. In 2018, marketers will continue to rely on machine learning to understand open rates when it comes to email. This way, you know exactly when to send your next campaign to increase click-through rates and ROI.

The next big thing? It might sound small but ticket tagging and re-routing can be a massive expense for small businesses – costs that can be saved with machine learning.

Having a sales inquiry automatically end up with the sales team, or a complaint end up instantly in the customer service department’s queue, is going to save companies a lot of time and money, and this is all being made possible with modern technology.

Here’s what else to expect in 2018:

E-Commerce Reaches New Heights

You’ve been shopping for a new pair sunglasses on Amazon, then before you know it, your Facebook feed is filled with multiple eyewear ads and related trends for summer.
This is machine learning.
In fact, this example of analyzing data based on a user’s purchase history or online shopping behaviour is the future for e-commerce.

Retail companies are also tracking what ads or images you’re most likely to stop scrolling on, in order to target you with specific content. For example, if you always click on ads that contain happy women and some text, then a machine will log this as preferred content so that you are only targeted with ads that fit this description.

Machines can also track what time of day you are most active on Facebook, Instagram, Twitter, and/or Pinterest, in order to present these ads to you at an optimal buying time.

Then when it’s time to purchase, machine learning is applied to reduce the risk of credit fraud in small businesses.

How? Machines learn from historical datasets that contain fraudulent transactions and can identify patterns that represent a typical fraudulent transaction.
Similar to the way spam emails are detected and deterred. Machine learning will start to affect other parts of your business funnel as well, just take a look at the rise of Chatbots.

Integrating Chatbots

There was a time in which chatbots were only thought of as manmade pests on the Internet. Through machine learning, they are getting smarter and businesses are embracing them en mass.
In 2018 and beyond, chatbots will play a key role in the future of customer service. Why? Chatbots can help achieve a faster customer service resolution, as well as provide quick histories of each customer for impeccable customer service.

There are some key benefits that chatbots have over solely human interactions:
- Giving 24/7 customer service: The great things about machines? They don’t sleep! Coupled with the fact that chatbots are getting sophisticated enough to recognize human emotions such as anger, confusion, fear and joy. So should a chatbot encounter negative sentiments from the customer, they can seamlessly transfer to a human to take over and finish assisting the customer.
- The era of being ‘on hold’ is gone: A huge barrier to providing excellence in customer service is long wait times. How many times have you tried to get customer service from Comcast (or any TV/Internet provider) and you are getting progressively more frustrated with the wait times? This can all be eliminated with chatbots!
- Quick access to customer data makes service more personal: One thing that humans will never be better at than chatbots is quickly digesting customer data and history to provide context to customer questions.
- Chatbots excel at collecting customer data from support interactions. They can serve as virtual assistants that can feed customer data to your customer service officers so they have a full history of each account quickly.
The final trend we’ll explore is Automation and how it affects businesses today.

Automation now and beyond 2018

Though Machine Learning and AI are hot topics in the tech world, it is not to a point that small to medium-sized businesses can leverage them in the immediate future. But there is still hope for them with automation.
Powered by the Cloud, this type of technology has already revolutionized Marketing and Sales workflows and interactions but it is also starting to touch the various other parts of a business. For example:

Operations Automation

Once you win an important sale, you’ve got to deliver the product or service you’ve promised to the client. What does that process look like for most businesses now? You all will have a kick-off meeting and hope to cover all the promises that marketing and sales have given to your client.

However, with the use of operations automation and a powerful CRM, you will be able to read the interactions and see all the various touch points a client had with your company before that kick off call even happens.

This will give your service businesses a head start in providing great client relations and managing expectations. This category of SaaS products is called Service Operations Automation, or ServOps for short.

Accounting Automation

If there is one data-entry heavy department it would be Accounting. The problem is that as humans, we are fallible and much slower at data entry than a machine. Innovations with bank feeds, rules-based categorization and integrated payments have dramatically reduced the workload of clerical and bookkeeping staff.

This gives business owners more timely access to accurate financial information for their businesses.

Research, done by Xero, (a popular financial software provider) suggests that by 2020, automation will be commonplace in accounting. A significant number of finance professionals will be using the next level of analytical tools to help them add value to business models across the globe.

Payroll/HR Automation

Finally, the Cloud and Automation have come to the Payroll and Human Resources sector. These important areas of a business too often suffer because small businesses aren’t big enough to afford a full-time HR department.

What’s the alternative? Having only part-time efforts of founders and principals which can often lead to serious risk to the business.

With new automation technology, compliance is automated by platforms. The effort of keeping time-off approvals in sync with PTO balances and payslips becomes a thing of the past.

In the near future, we will see the rise of great technology, powered by the Cloud, Automation, AI, and Machine Learning.

This truly is the start of the Golden Age of Information Technology and it is time for businesses to take a hard look at their organizations and find ways to start integrating these tech trends.

This is a slightly shortened re-blog from a marketing post on Tenfold.com *

*This post was guest-authored by Tara Callinan and Jenneva Vargas from Accelo
23 July 2018

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