Connect with us

Politics

20 Team Building Activities Your Team Will Actually Love – ReadWrite

Published

on

team building activities


The human race has evolved over millions of years by sticking together, working in groups and teams. Living in groups has helped humankind survive on this planet and thrive better than any other species. Considerable credit goes to this particular nature of humans, i.e., living in teams. Therefore, team-building activities are a must for relieving the stress of employees.

Most jobs today — especially in tech, involve interacting with others, and often, these team members are not even in the same line of profession. So there has always been the need for dedicated, effective teamwork in any field — whether that means jobs in the business sector, science, or finance.

Steve Jobs revolutionized the entire pattern of living with his innovative and creative mind — but without his team of hard-working professionals and their abilities, his innovations would not have reached the hands of so many people worldwide.

All of the new world facts swirling around us makes it important to have effective ways to develop teams to obtain our best results. Here are 20 Team Building activities that can assure the development of professional bonds and coordination between team members:

 

20 Team Building Activities for Your Team

  • Blind Drawing

Aim:

This activity aims to develop good quality communication and understanding between team members and understand how they think.

Activity:

First, divide everyone into pairs. Then with each pair/team, do the following:

Give a pen and paper to one of them and give a picture to the other. Now the one with the picture has to explain to the other what it is without actually telling what it is. With this explanation, the other person has to draw the picture within a given time limit.

team building activities

Aim:

This game helps to know your team members on a personal level.

Activity:

This is a virtual game and is great to play during times like the unfortunate pandemic — or anytime you have a large portion of the team working from home (like work-from-home-Friday). Each member has to make a short video of their homes and their favorite things about it and show it to everyone.

team building activities

Aim:

This fun activity works great to help team members bond with each other and design effective strategies for problem-solving.

Activity:

Firstly gather some eggs and make several teams of 3-5 people. Give each team some office supplies like tape, pencils, straws, plastic utensils, etc. The teams will have 20-30 mins to create a platform that’ll prevent their eggs from breaking when dropped from the 2nd floor.

team building activities

Aim:

The activity is highly based on trust, communication, and effective listening, which are integral for any team.

Activity:

Find an open space and place obstacles on the floor like cones, bags, drink cups, water bottles, etc. Then, divide everyone into pairs and put a blindfold on one team member. The other team member must help the blindfolded member cross the obstacle course (without touching anything) by voice instructions.

team building activities

Aim:

This activity promotes self and mutual awareness. It also helps team members understand each other on a personal level.

Activity:

Ask everyone to take coins out of their purses and wallets. The entire group is supposed to create a logo using these coins and other materials like notebooks, pens, etc. The logo should, in some way, represent their team/organization. At the end of 15 mins, ask everyone how that logo represents their department/organization or team.

Aim:

The classification game is a great activity for an icebreaker session for team building or a company party.

Activity:

Create groups of 3-5. In front of their teams, each person in the group says three sentences about themselves with a like, dislike, and one dream. At the end of a quick discussion, each team has to develop a category to describe their entire team as one single group like sporty, night-owls, rain-lovers, etc..

team building activities

Aim:

This activity aims to state the importance of minor decisions that affect the entire team.

Activity:

The leader has to choose a picture of some cartoon character and cut it into several small pieces. Then, each person gets one of the pieces, and they have to draw the same piece five times bigger. In the end, all the larger drawings are joined to see who dis-coordinated with the team. This is fun to do with paint — (as you see above) with acrylic on poster board. You can use cheap brushes from a local craft store.

team building activities

Aim:

This activity aims to create good communication and team building.

Activity:

Make everyone stand in a circle facing each other. Then ask everyone to grab the hand of a random person on their right and left sides. After everyone is holding hands, ask them to untangle and form a circle without leaving any hand until they are in a tight knot — have a rule that they have to have someone step through (over hands) twice. Then have them untangle. (Yes, it is difficult to step backward over hands to untangle.)

team building activities

Aim:

Scavenger hunts test team-thinking and decision-making.

Activity:

Divide everyone into groups of 3-4. Leave clues at multiple points that lead to the final Prize. The team that reaches there first wins.

team building activities

Aim:

This game improves meeting productivity and motivates everyone to work instead of trying to leave the meeting.

Activity:

Before starting a meeting, make everyone stand and share what they aim to contribute to the meeting. The team will ultimately decide who actually contributed to the meeting, the point they shared earlier. The winner gets a prize.

team building activities

Aim:

Group juggle is a great icebreaker session for new teams.

Activity:

Make everyone stand in a circle facing each other and throw a ball at someone. The one who catches it has to say their name and throw it to someone else. The one who catches it has to do the same. After some time, throw another ball into the circle and continue the activity with more balls.

team building activities

Aim:

Improves meeting productivity and attentiveness.

Activity:

During routine meetings, say random things in the middle of the discussion topics and ask everyone about them at the end of the meeting to know who was listening. It can also be played as a team 1 vs. team 2 activity. You can also whisper an important point of a meeting in a person’s ear to the left and a different point to a person on the right. Then have them pass around the information around the circle. Finally, have the last two people who get the information tell what the information is.

Aim:

This team-building exercise inspires creativity and individual innovation.

Activity:

Divide everyone into groups and then share an object name with one member of each team in secrecy. They then have to explain what the object is, without saying anything but just with actions.

Aim:

It is a great way to break the ice for new hires.

Activity:

Write several pairs on pieces of paper, like Mario on one and Luigi on others. Ernie and Bert. Paste these papers on the back of everyone and make them find their partners. 

Aim:

The objective helps people work in groups and acquire problem-solving, creativity, and robust communication skills.

Activity:

Take a 2-meter long table cloth and make 4-5 people stand on it. The aim is to flip the cloth upside down, but the condition is that they can only use their feet to turn the cloth. Another way to do this is to have the team stand around the cloth and turn it over, never touching the ground.

Aim:

This activity is based on leadership skills and problem-solving. In addition, it aims to improve the overall teamwork and coordination of team members.

Activity:

Make some teams of any but equal sizes and give each team a jigsaw puzzle of equal difficulty. The twist is that some of the pieces will be mixed in different teams. The missing pieces can hence be negotiated among the teams, but whatever happens, will happen as one decision of the entire team.

Aim:

Truth and dare aim to develop honesty and interaction between team members.

Activity:

As simple as it is, truth and dare can be a very effective game to help your team know each other better and create stronger bonds based on honesty and interaction.

Aim:

This game improves problem-solving, knowledge about your office culture and is just also very fun to play.

Activity:

Create a list of trivia questions regarding your workplace and see which team gets the most correct answers. You can type a document of the questions leaving an area blank for the answers, or do a live quiz.

Aim:

Apparently, singing is a great building exercise and allows everyone to bond with each other.

Activity:

Your team can all go out to a karaoke bar or sing karaoke in the office with the help of karaoke games like SingStar. Our team has had great fun dividing into teams and picking songs at a karaoke bar, then trying to outdo each other and vote who picked the best song, had the best singers, did the best harmony, etc.

Aim:

It aims to develop coordination

Activity:

Make everyone stand in a circle with their heads down and eyes closed. Then they have to start counting to 20, but only one person can speak a single number at a time. If more than 1 person is speaking at the same time, they start at one again.

Conclusion 

There are numerous ways to build the team spirit of your company. We also play ping-pong, bocce ball, spike ball, various versions of volleyball (even without a net), and baseball (softball) when we can get to the field. By performing team-building activities, one can ensure a stronger bond together. The spirit of becoming the best team and achieving a collective goal helps boost confidence and further build trusting bonds. 

If you have employees who have a great connection and trust; you are already halfway through the success door. 

In the end, what matters is how happy your employee are. If they have a good time working at your organization, you will find a great coworking space. Let them mingle and choose your business as the best learning platform to which they have come up.

At the same time, engage them with skills and development programs to improve their skills, or they can take them as their hobbies like photography, public speaking, or some basic technical skills like dedicated WordPress hosting based web development which is quick and easy to learn.

What We Have Found

We feel that if you are using team-building activities — your team is much more likely to ask questions of each other when they don’t know a piece of technology — and they are happier to help each other with project issues.

The teams are more likely to work together to solve personal (work) problems rather than “tell” the boss/leadership that someone isn’t doing their job. They remind each other and are kinder and less harsh or judgemental to each other.

It is easier to engage your employees to do extra projects. The employees are more likely to keep themselves motivated to work towards your goal — This allows them to carry on with their side hobbies and learning. We have also found that our team building work has brought good results to our company in the end.

Nobody wants to keep changing jobs or avoid work until they are enjoying work with disciplined freedom. But, unfortunately, it seems that nowadays, everyone thinks it’s the responsibility of the HR Team to create better workplaces and cultures — but as a manager and leadership — you don’t always need HR to take care of everything — you can do it yourself. 

I hope you build stronger teams with these team-building activities.

Incidentally: these games are great with kids, families, and family reunions, and large parties.

Puneet Sharma

A serial entrepreneur and passionate SaaS Marketer working in multi online business niches like hosting, eCommerce, saas, real estate.

Politics

How Alternative Data is Changing the Finance Sector

Published

on

How Alternative Data is Changing the Finance Sector


Alternative data has been touted as the future for various companies. Financial services companies have taken a particular interest in the field as it has the potential to either provide completely novel signals or improve existing investment strategies.

However, understanding the scale and importance of alternative data has always been challenging as businesses in the sector are often shrouded in mystery. Investing is extremely competitive as alpha often depends on the signal strength other companies can acquire.

Now, however, the veil has been lifted, even if slightly. Finally, there is enough data to understand how far alternative data and web scraping have entrenched themselves into the industry, allowing us to understand their importance.

What is alternative data and web scraping?

Alternative data is a negatively defined term meaning everything that is not traditional data. The latter is considered to be everything that’s published regularly according to regulations, government action, or other oversight. In other words, it’s all the data from statistics departments, financial reports, press releases, etc.

Since alternative data is defined negatively, it’s every information source that’s not traditional. While the definition is somewhat broad, alternative data does have its characteristics. Namely, it’s almost always unstructured, comes in various formats (i.e., text, images, videos), and often is extracted for a highly specific purpose.

Data acquisition is significantly more complicated because both the sources and the formats are varied. Data as a Service (DaaS) businesses can resolve most of the acquisition issues; however, finding one that holds the necessary information can be complex.

Web Scraping and in-house solutions in alternative data acquisition

Many companies turn to building in-house solutions for alternative data acquisition. One of the primary methods for doing so is called web scraping. In short, it’s a method of automating online public data collection by employing bots.

These solutions go through a starting set of URLs and download the data stored within. Most bots will also further collect any URLs stored on the page for continued crawling. As a result, they can blaze through many sources within seconds or minutes.

Collected data is then delivered and parsed for analysis. Some of it, such as pricing information, can be integrated into completely automated solutions. Other data, such as anything from which investment signals might be extracted, is analyzed manually by dedicated professionals.

Web scraping is shaping the financial services industry

As mentioned above, financial services and investment companies have taken a particular interest in web scraping earlier than nearly anyone else. These businesses thrive upon gaining an informational edge over their competitors or the market as a whole.

So, in some sense, it was no surprise when web scraping turned out to be a key player in the financial services industry. So we surveyed over 1000 decision-makers in the financial services industry across the US and UK regions to find out more about how data is being managed in these companies.

Image Credit: Oxylabs; Thank you!

 

While internal data, as expected, remains the primary source of insight for all decision-making, web scraping has nearly overtaken it in the financial services industry. Almost 71% of our respondents have indicated that they use web scraping to help clients make business decisions.

Web Scraping and Growth Tendencies

Other insights are even more illuminating. For example, while web scraping has shown clear growth tendencies, we didn’t expect 80% of the survey respondents to believe that the focus will shift towards it even more in the coming 12 months. Nevertheless, these trends indicate a clear intent to change the dominant data acquisition methods in the industry.

Finally, there’s reason to believe that the performance of web scraping is equally as impressive. There may have been reason to believe that the process of automated data collection is simply a byproduct of hype. Big data has been a business buzzword for the longest time, so it may seem that some of that emotion might have transferred to web scraping.

Implementing Web Scraping

However, those who have implemented web scraping do not seem to think it’s pure hype. Over a quarter of those who have implemented the process believe it has had the most significant positive impact on revenue. Additionally, nearly half (44%) of all respondents plan to invest in web scraping the most in the coming years.

Our overall findings are consistent across regions. As the US and UK are such significant players in the sector, the conclusions likely extend to global trends, barring some exceptions where web scraping might be trickier to implement due to legal differences.

The survey has only uncovered major differences in how web scraping is handled, not whether it’s worthwhile. For example, in the US, it’s rarely the case that compliance or web scraping itself would be outsourced (12% & 8%, respectively). On the other hand, the UK is much more lenient regarding outsourced departments (22% and 15% for outsourced compliance and outsourced web scraping, respectively).

Conclusion

While the way data is being managed in the financial services industry has been shrouded in mystery for many years, we’re finally getting a better glimpse into the trends and changes the sector has been undergoing. As we can see, web scraping and alternative data play a major role in shaping the industry.

Becoming the true first adopters of web scraping, however, I think, is only the beginning. Both the technology and the industry are still maturing. Therefore, I firmly believe we will see many new and innovative developments in data extraction and analysis in the finance sector, which novel web scraping applications will head.

Image Credit: Pixabay; Pexels; Thank you!

Julius Cerniauskas

CEO at Oxylabs

Julius Cerniauskas is Lithuania’s technology industry leader & the CEO of Oxylabs, covering topics on web scraping, big data, machine learning & tech trends.

Continue Reading

Politics

How to Implement a Splintered Content Strategy

Published

on

How to Use SEO if You Have No Experience


Content makes the marketing world go round. It doesn’t matter what your overarching marketing strategy looks like – content is the fuel source. You can’t go anywhere without it. The biggest problem is that content can be expensive to create. We operate in a business world where thousands of pieces of content are created every single second. Trying to keep up can feel like an expensive exercise in futility.

The key to successful digital marketing in an era of saturated online channels is extracting maximum value from your content. If the traditional approach is built around “single-use” content, you need to switch gears and opt for a multi-use approach that allows you to leverage the same content over and over again. One way to do this is by building out a “splintered” content strategy.

What is a Splintered Content Strategy?

The best way to understand the splintered approach to content creation is via an analogy. In the analogy, you start with one core topic that relates to your brand and readers. This topic is represented as a tree. Then, when you want to get more value out of the tree, you chop it down into big logs. These logs represent sub-topics of more significant topics. These logs can then be split and broken down into even smaller niches. (And this process of splintering the original topic into smaller/different pieces of micro-content can go on and on.)

Content splintering is not to be confused with content republishing or duplication. The mission isn’t to reuse the same content so much as to extract more value from the original content by finding new uses, applications, angles, and related topics. Not only does this approach help you maximize your ROI, but it also creates a tightly-correlated and highly-consistent web of content that makes both search engines and readers happy.

What You’ll Need for a Splintered Content Strategy

In order to get started with creating splintered content, you’ll need a few things:

  • Keyword research. The process always begins with keyword research. First, you need to perform detailed SEO research to zero in on the keywords that specifically resonate with your target audience. This feeds your topic selection and actual content creation. (You can think of keyword research as developing a blueprint. Just like you can’t build a house without plans, you can’t implement a splintered content strategy without keyword research.)
  • General topic. Armed with the right keywords, you can begin the process of choosing a broad topic. A general topic is a very basic, overarching topic that speaks to a specific target audience.
  • Content writers. You’ll need a team of people to actually create the content. While it’s possible to do this on your own, you ideally want to hire content writers to do the heavy lifting on your behalf. This allows you to focus on the big-picture strategy.
  • Consistency. A splintered content strategy requires consistency. Yes, there are ways to automate and streamline, but you have to ensure that you’re consistently churning out content (and that the content is closely correlated).

A good splintered content strategy takes time to develop. So, in addition to everything mentioned above, you’ll also need patience and resilience. Watch what’s working, and don’t be afraid to iterate. And remember one thing: You can always splinter a piece of content into more pieces.

How to Plan and Execute a Splintered Content Strategy

Now that we’re clear on splintered content and some of the different resources you’ll need to be successful, let’s dig into the actual how-to by looking at an illustration of how this could play out. (Note: This is not a comprehensive breakdown. These are merely some ideas you can use. Feel free to add, subtract, or modify to fit your own strategy needs.)

Typically, a splintered content strategy begins with a pillar blog post. This is a meaty, comprehensive resource on a significant topic that’s relevant to your target audience. For example, a financial advisor might write a pillar blog post on “How to Sell Your House.” This post would be several thousand words and include various subheadings that drill into specific elements of selling a house.

The most important thing to remember with a pillar post is that you don’t want to get to micro with the topic. You certainly want to get micro with the targeting – meaning you’re writing to a very specific audience – but not with the topic. Of course, you can always zoom in within the blog post, and with the splinters it produces, but it’s much more difficult to zoom out.

  • Turn the Blog Post Into a Podcast Series

Once you have your pillar piece of content in place, the splintering begins. One option is to turn the blog post into a series of podcast episodes. Each episode can touch on one of the subheadings.

If these are the subheadings from the blog post, they would look like this:

  • How to prepare for selling > Episode 1
  • How to find a real estate agent > Episode 2
  • How to declutter and stage your property > Episode 3
  • How to price your property > Episode 4
  • How to choose the right offer > Episode 5
  • How to negotiate with repair requests > Episode 6
  • How to prepare for closing day > Episode 7
  • How to move out > Episode 8

Depending on the length of your pillar content, you may have to beef up some of the sections from the original post to create enough content for a 20- to 30-minute episode, but you’ll at least have a solid outline of what you want to cover.

  • Turn Podcasts Into YouTube Videos

Here’s a really easy way to multiply your content via splintering. Just take the audio from each podcast and turn it into a YouTube video with graphic overlays and stock video footage. (Or, if you think ahead, you can record a video of you recording the podcast – a la “Joe Rogan” style.)

  • Turn YouTube Videos Into Social Clips

Cut your 20-minute YouTube video down into four or five different three-minute clips and soundbites for social media. These make for really sticky content that can be shared and distributed very quickly.

  • Turn Each Podcast Into Long-Form Social Posts

Take each podcast episode you recorded and turn them into their own long-form social posts. Of course, some of this content will cover information already hashed out in the original pillar post, but that’s fine. As long as you aren’t duplicating content word-for-word, it’s totally fine if there’s overlap.

  • Turn Long-Form Social Posts Into Tweets

Your long-form social posts can then be turned into a dozen or more individual short-form tweets. Find the best sentences, most shocking statements, and most powerful statistics from these posts and schedule a series of automated posts to go out over a few weeks. (You can automate this process using a tool like Hootsuite or Buffer.)

  • Turn Content Into an Email Campaign

Finally, take your best content and turn it into a series of emails to your list. You may even be able to set up an autoresponder series that slowly drips on people with a specific call-to-action.

Using the example from this article, a real estate agent might send out a series of 10 emails over 30 days with a call-to-action to get a free listing valuation.

Take Your Content Strategy to the Next Level With Splintered Content Strategy

There isn’t necessarily a proper way to implement a splintered content strategy. But, like everything regarding marketing, there’s ample room for creativity.

Conclusion

Use the parts of this article that resonate with you and adapt the rest to fit your vision for your content. Just remember the core objective of this entire approach: content maximization.

The goal is to get the most value out of your content as possible. And you do that by turning each piece of content you create into at least one more piece of content. If you do this efficiently, you will be successful.

Image Credit: by Kampus Production; Pexels; Thank you!

Timothy Carter

Chief Revenue Officer

Timothy Carter is the Chief Revenue Officer of the Seattle digital marketing agency SEO.co, DEV.co & PPC.co. He has spent more than 20 years in the world of SEO and digital marketing leading, building and scaling sales operations, helping companies increase revenue efficiency and drive growth from websites and sales teams. When he’s not working, Tim enjoys playing a few rounds of disc golf, running, and spending time with his wife and family on the beach — preferably in Hawaii with a cup of Kona coffee. Follow him on Twitter @TimothyCarter

Continue Reading

Politics

Successful AI Requires the Right Data Architecture – Here’s How

Published

on

Successful AI Requires the Right Data Architecture - Here’s How


For companies that can master it, Artificial Intelligence (AI) promises to deliver cost savings, a competitive edge, and a foothold in the future of business. But while the rate of AI adoption continues to rise, the level of investment is often out of kilter with monetary returns. To be successful with AI you’ll want the right data architecture. This article tells you how.

Currently, only 26% of AI initiatives are being put into widespread production with an organization. Unfortunately, this means many companies spend a lot of time on AI deployments without seeing tangible ROI.

All Companies Must Perform Like a Tech Company

Meanwhile, in a world where every company must perform like a tech company to stay ahead, there’s increasing pressure on technical teams and Engineering and IT leaders to harness data for commercial growth. Especially as spending on cloud storage increases, businesses are keen to improve efficiency and maximize ROI from data that are costly to store. But unfortunately, they don’t have the luxury of time.

To meet this demand for rapid results, mapping data architecture can no longer stretch on for months with no defined goal. At the same time, focusing on standard data cleaning or Business Intelligence (BI) reporting is regressive.

Tech leaders must build data architecture with AI at the forefront of their objectives.

To do otherwise — they’ll find themselves retrofitting it later. In today’s businesses, data architecture should drive toward a defined outcome—and that outcome should include AI applications with clear benefits for end-users. This is key to setting your business up for future success, even if you’re not (yet) ready for AI.

Starting From Scratch? Begin With Best Practices for Data

Data Architecture requires knowledge. There are a lot of tools out there, and how you stitch them together is governed by your business and what you need to achieve. The starting point is always a literature review to understand what has worked for similar enterprises, as well as a deep dive into the tools you’re considering and their use cases.

Microsoft has a good repository for data models, plus a lot of literature on best data practices. There are also some great books out there that can help you develop a more strategic, business-minded approach to data architecture.

Prediction Machines by Ajay Agarwal, Joshua Gans, and Avi Goldfarb is ideal for understanding AI at a more foundational level, with functional insights into how to use AI and data to run efficiently. Finally, for more seasoned engineers and technical experts, I recommend Designing Data-Intensive Applications by Martin Kleppmann. This book will give you the very latest thinking in the field, with actionable guidance on how to build data applications, architecture, and strategy.

Three Fundamentals for a Successful Data Architecture

Several core principles will help you design a data architecture capable of powering AI applications that deliver ROI. Think of the following as compass points to check yourself against whenever you’re building, formatting, and organizing data:

  • Building Toward an Objective:

    Always have your eye on the business outcome you’re working toward as you build and develop your data architecture is the cardinal rule. In particular, I recommend looking at your company’s near-term goals and aligning your data strategy accordingly.

    For example, if your business strategy is to achieve $30M in revenues by year-end, figure out how you can use data to drive this. It doesn’t have to be daunting: break the more important goal down into smaller objectives, and work toward those.

  • Designing for Rapid Value Creation:

    While setting a clear objective is key, the end solution must always be agile enough to adapt to changing business needs. For example, small-scale projects might grow to become multi-channel, and you need to build with that in mind. Fixed modeling and fixed rules will only create more work down the line.

    Any architecture you design should be capable of accommodating more data as it becomes available and leveraging that data toward your company’s latest goals. I also recommend automating as much as you can. This will help you make a valuable business impact with your data strategy quickly and repeatedly over time.

    For example, automate this process from the get-go if you know you need to deliver monthly reporting. That way, you’ll only spend time on it during the first month. From there, the impact will be consistently efficient and positive.

  • Knowing How to Test for Success:

    To keep yourself on the right track, it’s essential to know if your data architecture is performing effectively. Data architecture works when it can (1) support AI and (2) deliver usable, relevant data to every employee in the business. Keeping close to these guardrails will help ensure your data strategy is fit for purpose and fit for the future.

The Future of Data Architecture: Innovations to Know About

While these key principles are a great starting place for technical leaders and teams, it’s also important not to get stuck in one way of doing things. Otherwise, businesses risk missing opportunities that could deliver even greater value in the long term. Instead, tech leaders must constantly be plugged into the new technologies coming to market that can enhance their work and deliver better outcomes for their business:

  • Cheaper Processing:

    We’re already seeing innovations making processing more cost-efficient. This is critical because many of the advanced technologies being developed require such high levels of computer power they only exist in theory. Neural networks are a prime example. But as the required level of computer power becomes more feasible, we’ll have access to more sophisticated ways of solving problems.

    For example, a data scientist must train every machine learning model. But in the future, there’s potential to build models that can train other models. Of course, this is still just a theory, but we’ll definitely see innovation like this accelerate as processing power becomes more accessible.

  • Bundled Tools:

    Additionally, when it comes to apps or software that can decrease time to value for AI, we’re in a phase now where most technology available can only do one thing well. The tools needed to productionize AI — like storage, machine learning providers, API deployment, and quality control — are unbundled.

    Currently, businesses risk wasting precious time simply figuring out which tools they need and how to integrate them. But technology is gradually emerging that can help solve for multiple data architecture use cases, as well as databases that are specialized for powering AI applications.

    These more bundled offerings will help businesses put AI into production faster. It’s similar to what we’ve seen in the fintech space. Companies initially focused on being the best in one core competency before eventually merging to create bundled solutions.

  • Data Marts vs. Data Warehouses:

    Looking further into the future, it seems safe to predict that data lakes will become the most important AI and data stack investment for all organizations. Data lakes will help organizations understand predictions and how best to execute those insights. I see data marts becoming increasingly valuable for the future.

    Marts deliver the same data to every team in a business in a format they can understand. For example, Marketing and Finance teams see the same data represented in metrics that are familiar and – most importantly – a format they can use. The new generation of data marts will have more than dimensions, facts, and hierarchy. They won’t just be slicing and dicing information — but will support decision-making within specific departments.

Conclusion

As the technology continues to develop, it’s critical that businesses stay up to speed, or they’ll get left behind. That means tech leaders staying connected to their teams, and allowing them to bring new innovations to the table.

Even as a company’s data architecture and AI applications grow more robust, it’s essential to make time to experiment, learn and (ultimately) innovate.

Image Credit: by Polina Zimmerman; Pexels; Thank you!

Atul Sharma

Atul founded Decision Intelligence company Peak in 2015 with Richard Potter and David Leitch. He has played a pivotal role in shaping Peak’s Decision Intelligence platform, which emerged as an early leader in a category that is expected to be the biggest technology movement for a generation. Peak’s platform is used by leading brands including Nike, Pepsico, KFC and Sika.
On a mission to change the way the world works, the tech scaleup has grown quickly over the last seven years and now numbers over 250 people globally. Regularly named a top place to work in the UK, this year Peak received the Best Companies 3-star accreditation, which recognizes extraordinary levels of employee engagement.
Prior to Peak, Atul spent over 20 years working in data architecture and data engineering. He has worked on designing and implementing data integration and data warehouse engagements for global companies such as Morrisons Plc, The Economist, HBOS, Admin Re (Part of Swiss Re) and Shell.

Continue Reading

Copyright © 2021 Seminole Press.