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JUNIOR CLOUD ENGINEER
Brussels - Belgium
THE COMPANY :
This leading media company based in Brussels, is set to be on a huge growth in 2020 and beyond. Their plan forward is to reinforce their market leading position whilst continuing to respond to their customer's needs with the latest technologies.
THE ROLE :
As part of the engineering team and a cloud engineer you will manage cloud solution for their IT and Network services:
YOUR PROFILE :
HOW TO APPLY
Please upload your CV here and I will get back to you as soon as I can.
£60000 - £90000 per annum
Data Engineer £60-90k
US$100000 - US$120000 per annum + Benefits
A fast-paced technology company are looking for a Lead Software Engineer to join them in Florida! The salary is up to $120,000!
US$121925 - US$182887 per annum
US$170695 - US$207272 per annum + bonus
SENIOR SOFTWARE ENGINEER
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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It’s been nearly 40 years since the War Games movie was released. Remember the computer voice, JOSHUA, who asked the infamous, “Would you like to play a game?”. The computer had been programmed to learn. You might call it a forerunner of Artificial Intelligence (AI) today. Except AI is no longer the little boy who becomes a stand-in for a grieving family. Now, we’re no longer watching a movie about AI, we’re living in its times. But unlike a movie, we won’t find a solution after 90-minutes to two hours. Now, we must be cautious and pay attention or we will be leapfrogged by our own inventions. Can we change course at this late stage? As we enter a new decade, let’s take a look at some of the concerns and solutions posed by Amy Webb, author of The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity. How Did We Get Here? As Christmas approaches, we are cajoled by memories and makers to buy back our past and cement our futures with things. Our desires for instant gratification keep us from planning for AI properly. While it can be fun to watch AI play against Chess champions or worrisome to watch it direct our buying decisions, we remain secure in that its not yet to its full potential. But elements such as facial recognition and realistic generation cause concern for a number of reasons. Not the least of which is what will happen when systems make our choices for us. From the Big 5 of Tech to your local commercial or paper, our minds are already often made up. And even when we’re presented with the truth, we may not even realise it because our AI capabilities have grown exponentially and continue to grow making us wonder…what if? So, What Can We Do? Businesses, Universities, and the Media all have a part to play. And in our image-centric world, the greatest of these is Media. Universities can blend technical skills with soft skills and blend in degrees such as philosophy, cultural anthropology, and microeconomics just to name a few. The blending of these skills can offer a more robust understanding of the world around us. Businesses can work to ensure a more diverse staff and improve inclusion. Shareholders and investors can help by slowing down when considering investments in AI to allow for determining risk and bias before moving forward. And when it comes to the Media, there’s general agreement the public needs greater media literacy. While AI-focused accusations of deepfakes in news and on television abound, there is a greater concern in that much of what people believe to be fake, isn’t. So, the question becomes, how does the media generate trust in a public that no longer believes what it reads, sees, or hears? It’s this casting of doubt which is the greater danger. Why? Because it requires no technology at all. While it’s best to be informed, it can be tricky to navigate in today’s world. So, it’s up to not only the news consumers, but is up to researchers, journalists, and platforms to separate the wheat from the chaff. Or in this case, the real from the fake before the news reaches its audience. From Socrates who taught his students to question what they learned to the students of the 20th century expected to remember only what was needed for a test; we have come full circle. But at a unique time in our world, in which the questioning has not much to do with challenging ourselves but is at best used to sow distrust. While tech companies like Facebook and Google have jumped on the bandwagon to expose fakes, others are moving into how to build trust. Again. At best, these startups offer comparisons of videos and images as the human eye works to discern the difference. But while tech may be advancing technological wonders by leaps and bounds, there remains a solid grounding of the human element. Humans are needed as content moderators to dispel fiction from truth. And in the media? There’s a renewed focus on training journalists to fact check, detect, and verify their stories. The human element adds a layer of nuance machines can’t yet emulate. If you’re interested in AI, Big Data and Digital or Web Analytics, we may have a role for you. Take a look at our current opportunities, or get in touch with one of our expert consultants to find out more.
19. December 2019
United we stand, together we fall. Not too put too fine a point to it, but how your business and data strategies align are integral to your business. Today’s world is about change, being able to pivot toward new strategies, and being open to trying new things. Consider this: the “mom-and-pop” shop is back and it is flourishing. Younger generations of farmers are returning to their family farms when they graduate and they’re bringing new knowledge with them. And the makerspace, freelance, and gig economies are thriving. These businesses are learning how to work with technology and align their Data Strategy with their Business strategy. Some legacy enterprises are taking notice. Others are missing the mark. Consumers may have changed how they want to shop and learn about services and products, but the services they want and expect haven’t changed that much which is why it’s more important than ever to “know your customer.” 3 Key Elements of Integrated Strategies While there are a number of things to take into consideration as you align your strategies, these three key elements can help get you started. 1. Understand the key elements of Business Strategy. 2. Apply innovation strategy to business objectives. 3. Determine key elements of your Data Strategy for use in a real-world scenario. Understand the key elements of business strategy A business strategy encapsulates two main ideas; cost advantage versus competition. The cost advantage includes costs and other resources, identification and awareness of strengths, weaknesses, and competition. Competitive advantage happens when you’ve done your market research and can show what makes you different from any other provider with similar goods and services. This is the time you might perform a SWOT (strengths, weaknesses, opportunity, and threat) analysis of your business. It’s helpful to include your mission and vision statements, objectives, core values, risk tolerance, and understanding trends in your business. Apply Innovation Strategy to Business Objectives Ideas and innovation flow when you and your business understand your customers and are able to easily shift into new things. Think R&D into Bioinformatics, automated tasks into AI, or a platform such as streaming services to help sell services such as insurance. Laying the groundwork to apply innovation strategies to your business objectives follow these ideas: Identify your business objectives by asking questions.Assess the budget and personnel resources and develop a budget strategy.Test the market to determine what issues will or need to be solved and understand how this innovation will benefit your overall strategy. If you’re working on a Data initiative to integrate into your Business strategy, one of the key elements is to determine how those changes may affect your business. Determine Key Elements of Data Strategy for Use in Real-World Scenarios As you work on developing your Data Strategy, it’s important to consider all the elements required to ensure success. So, what do you need to take into consideration when working on this type of strategy? Here are some things to consider as you develop your framework. Determine your business needs and their current state.Determine what works and what can be improved upon if there is a technology improvement or process.Evaluate your Data from sales, profit, and evaluate your progress.}Develop an action plan. Many businesses don’t incorporate just one type of Data into their strategy. They consider the potential impact of technologies such as Machine Learning, Predictive and Data Analytics, and other Big Data Strategies to drive improvements when it comes to decision making. They understand these Data-driven insights can help them improve or solve their most critical problems. There is a caveat, however, and it is how you collect the information for real-world scenarios. Certain requirements are in place for a reason and they ensure only relevant Data is collected. This is done by formulating “predictive models” and necessary information to operate and determine whether your case will be something to be done over time or if it’s something brand new to consider when looking at real-time access. One Final Thought… Data-centric organisations have a distinct advantage over their competition. The information gained from collecting and analysing to understanding their customers can offer great insight as to what’s working and what isn’t. Integrating your Business Strategy with a Data Strategy can offer you a more well-rounded understanding of the customers you serve and can ultimately, help you to serve them better; now and in the future. Disruptive business models from this way of thinking can also foster growth and lead to innovative changes in your marketplace. If you want to be at the forefront of change we may have a role or candidate for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.
14. November 2019