We’ve come a long way since Amazon Web Service’s first cloud computing wave in 2006 and AWS turnover is now at $14 billion with Google, Microsoft and IBM all snapping at their heels.
Open Source has become the technology that businesses of all sizes have begun to build their strategies around.
The days when apps were just built for smartphones is over now and we have a plethora of connected TVs, IoT devices in our homes, location based services, augmented reality, small business, utility, AI embedded and payment apps.
2017 seems to have been the year of DevOps so far but one wonders how many companies have been influenced by the hype without really realising where they should be heading and how.
Digital Marketing changes again? Marketing is an industry that never stands still and what is important one year has totally changed by the next. This year is all about Content and Big Data but as new GDPR laws come in next year will our world need to reinvent itself again? Certainly email marketing tactics will change at that point and sensible marketers will change well before the crunch date in May. Will these new rulings make us even more reliant on good content and customer experience? – almost certainly. It will also significantly change what we can do with our Big Data with predictions of 75% becoming obsolete. The GDPR changes should hopefully remove some of the more dubious elements from our industry and allow customers to receive the marketing that they truly want. It may even create a world where email becomes much less important and digital Content and brand influence is all – hold on – aren’t we there already? Let’s look at the positives and there are many. We live in a world of information overload and it’s not always a great place for our customers, and as customers ourselves we all know how this feels. We’re bombarded with huge swathes of information everywhere we go now and there seems to be no respite especially if you’re one of the many hyper switched onto their mobile. It’s not making anyone happy and stress levels have gone through the roof. As Marketers, we need to admit some responsibility for this and to start helping our customers, not making their lives worse. The new laws are about greater transparency, enhanced rights for citizens and increased accountability. Surely it would be good to remove adverts that are never opened or noticed, reduce the deluge of irrelevant marketing and to actually give our customers what they want. It’s our chance to improve the industry, our brand’s reputation and to send the ads that our customers are really interested in - the ones they will actually respond to. Our careers will be more worthwhile and we may actually save time and some of our precious marketing budget in the long run by focusing on what truly brings results. The price of leads may rise to reach this new nirvana but the quality will hopefully be worth paying the price for in the long run So does life go on despite GDPR? You bet it does! The creative marketing world as ever will change and is already changing. Content Marketing has evolved substantially over the last few years although many are still finding their feet. We’ve all learnt that we have to use content but it has to be entertaining and informative The race for innovation to find new ways to engage audiences is driving technology forward. Facebook and YouTube have introduced 360 degree video, although let’s not talk about the annoying autoplay videos that almost made us shut down our Facebook accounts recently. Companies are trying to be creative with augmented reality following Pokemon Go but there is still some way to go to see truly large movement in this area. Immersive live video could be interesting but the key to innovation may rely on constantly adapting, changing and inventing rather than just following the crowd and every new shiny toy. Audiences become tired quickly of new fads and gimics – who is still playing Pokemon Go now? Does anyone get tired of being consistently looked after really well however and feeling that they are genuinely cared about? We should be focusing on how we can combine that with innovation Does Big Data become smaller data? Big Data has become a huge topic in recent years but many companies still battle with understanding how they can use it best. The Political marketers seem to have certainly understood it, manipulated it and run with it and unfortunately made the world a scarier place with their Big Data marketing. We should be putting it to use for the benefit of society and our customers. Personalisation should be able to improve customer experience and one to one marketing is becoming more prevalent as brands get to grips with it. Native advertising has meanwhile diminished and needs revisiting for the future. Maybe the answer for marketers isn’t huge swathes of big data but more detailed relevant small data where forecasting can be used with more validity and we can all focus on doing what is right for the right customers at the right time And yes this stuff is still news Every year we all talk about Mobile and nothing has changed in that respect. We all know we need to be Mobile First and we’re more glued to our mobiles than ever – this isn’t going to diminish for the time being. The same with Video – it gathers pace and then moves onto yet another level. Look at Facebook – it’s all about video now – which seems a quick change from a few years ago – and it is predicted to become even more video focused. We’re still excited about AR, VR and the Internet of Things but we’re barely off the starting blocks and we’re going to have to wait a while yet especially if we don’t want our washing machine to be over taken by terrorists or criminals. We’ve embraced wearables and they seem to be getting cheaper and better rapidly although the information overload when your wrist, phone and laptop all buzz in sync late at night can lead to yet further intrusion to our already busy lives. We were excited about Chatbots but they are beginning to be annoying already. The customer experience yet again looms as the key piece that holds everything together. It is not enough to just be there to talk to. The service must be outstanding too. Lets start understanding people better. Let’s not just look at the psychology of marketing but how we can use the understanding of psychology to make lives better in a more meaningful and sustainable way. That should be the real future of marketing.
Scala, Clojure, Haskell, OCaml, F# & Erlang Recruitment
How To Use Airflow For ML Research And Development
Job Title: Data Analyst Company: Marketing and Advertising Location: London - Hybrid Job Type: Full-time Explore Group are seeking a talented and experienced Data Analyst to join our client within the advertising and marketing space. The ideal candidate will have strong experience with Python,...
Senior Python Software Engineer
Senior Python Software Engineer Full-time permanentCompetitive salary A fantastic opportunity has arisen for an experienced Python Software Engineer to join a growing financial services business located in London. You will help build and expand the batch functionality of the largest equities...
Account Manager - Voice
Account Manager - London - £70K per annum - Hybrid- No Sponsorship Offered The Company: They are a leading independent data, voice and IP provide in the eastern, central and southern Africa looking for an Account Manager to help them on their journey to create better and brighter lives for...
4 June 2019
Think Airflow isn't useful for machine learning R&D? Think again! Please join us for this talk on how one Data Scientist is leveraging Airflow to make his model research and development experience easier and more productive.
Meet-up topic details:
So far we have mostly talked about airflow in a production setting, covering how data engineers use airflow for data on-boarding and running production models. In this talk, we will be covering how data scientists can use airflow for model research and development and how data engineers can work with data scientists to assist them in the R&D process.
Unlike a production setting, the R&D workflow is less well defined, requires trial and error and frequent resetting of tasks and output as data, models and parameters change. It's less about recovering from failures and making sure everything is running smoothly and more about generating insights and assessing predictive power with different models and parameters.
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