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While AI is now beginning to be used in every industry (to the point in which it is now being regarded as a buzzword), few organisations are reaping the benefits of using AI for cybersecurity. The COVID-19 disaster urged on a second pandemic, dubbed by many as the 'cybersecurity pandemic', leading to an influx of new solutions.
The worrying thing is that despite the huge increase of cybersecurity solutions and the technological breakthroughs that we have seen within the last few years, adoption has been slow. This means that while new solutions have arrived, adversaries are improving their abilities at a faster rate than organisations have been able to keep up with. In fact, over ⅓ of endpoints deployed in the UK currently have no security agent installed and 70% of businesses report that they cannot ensure that every endpoint has the same level of protection.
In this podcast, Brooks Wallace, VP EMEA at Deep Instinct, discusses the reasons why adversarial AI poses a risk to companies using legacy systems and the top considerations to take into account in 2022. AI for cybersecurity is no longer a pipedream - it's the reality of some of the most robust organisations in the industry.
Over 90% of people feel overwhelmed with the sheer abundance of data they have at their disposal, which is a story that we hear all too often. While data is essential to all forms of decision, more and more companies suffer with the same issue, which is that they have too much data coming from different places, meaning it's hard to know what is genuinely reliable. As a wise man once said, "you can have the most expensive cranes in the world, but if you're building a house out of Lego, expect child's play."
So what can you do to simplify this? We hear time and time again that C-suite executive rely too much on gut decision making, but is a bit of intuition a bad thing? The concern that many organisations have is that it's near enough impossible to quantify intuition, making it hard to really see if it results in good results.
Joining us to explore the use of data analysis tools in the modern day is Nicky Tozer, EMEA SVP at Oracle NetSuite. In this podcast, Nicky delves into:
As we make our way into 2022, we have to acknowledge that workers are still inclined to favour remote working jobs. In fact, statistically people of colour and women are more likely to pursue remote working jobs, with 87% of Asian workers, 81% of black workers and 85% of women of every ethnicity stating it as a major preference.
When you take into account that many workers are looking for new places to work in 2022, employers will have to meet new demands in order to create an attractive work environment for future staff. That said, a recent report called "The great executive-employee disconnect" recently got published by Future Forum, which found some worrying statistics.
According to the report,
"Most executives (66%) report they are designing post-pandemic workforce policies with little to no direct input from employees."Now, if workers' demands are increasing, surely employers need to create a workplace with their employees in mind, but how does one go about doing that?
In this EM360 Podcast, our Head of Content Max Kurton talks to Stuart Templeton, Head of UK Slack, about how employees are faring 18 months into the pandemic. Throughout this podcast, they cover:
Ever heard of the data-decision gap? If you have, you likely recognise that many organisations struggle to make data-driven decisions. A big problem for many organisations is while they might have data, the source of this data is questionable at best, which makes it hard to drive decision making.
A key answer is visualised data and the ability to test your data to see if it genuinely can bring you in depth results. A problem that occurs with this is the the traditional approaches to visualising data, which are usually outdated. According to Quantexa's Data in Context Report,
Outdated approaches tend to be rules-based, reliant on batch-processing and require too much manual work. Traditional single view solutions are often use-case specific and hard to integrate, quickly replicating data silos, according to 46%. They also struggle with integrating key third-party data, 40%, such as public records, which are critical for analytics in many use cases.In this podcast, we speak to Jamie Hutton, CTO at Quantexa. Jamie gives us a full overview of:
You know that using social media in business can lead to some fantastic results, so you think of a post that you know will resonate with your audience. After a few hours building a graphic, using social media listening tools and doing thorough background research, you post it. At the end of the week, the post only has two likes. You are thinking, "Should I use a social media agency?"
Knowing exactly how to market yourself on social media is an absolute minefield but sadly it is key to nurturing your existing relationships and engaging prospects. Occasionally, businesses look for advice from a social media agency. The problem is that if you do not know exactly what outcomes you want to see from social media and do not know how to align social strategies with specific business outcomes, a social media agency won't either.
You have the strongest understanding of your target market, what your audience likes and what you want to demonstrate to your audience when using social media in business. Audiences want to see personalised posts from their favourite influencers and a one-size fits all approach never works. You just need to use those insights and find out the best way to apply them in order to reach your audience. In truth, all you need is a push in the right direction.
In this EM360 podcast, we speak to Tim Rickards, Director of Social and Content Strategy at Hearsay Systems. Tim runs us through the key findings of their Social Selling Content Study, the types of social content that resonates best for B2B and B2C audiences, how to draw on real world analytics to accelerate your sales cycle and the best ways to engage prospects and nurture relationships. This podcast is essential for anybody involved in sales or marketing, regardless of the industry you belong to.
You can have the greatest tech in the world but if you only have bad data, you're effectively flogging a dead horse. We might hear people say that data is their biggest asset and that data is the only way to make informed decisions but this data is very often pulled from various different locations that are impossible to track.
You have a statistic that says that 65% of people in your target market are looking for better customer support, but where did that number come from? When was this study conducted and what was the sample size? The reality is that without a strong data strategy, you will inevitable have bad data, and bad data is of no use to anyone.
We recently did a podcast on how c-suite executives often rely on gut based decision making, which brings up an interesting discussion point: why do they not trust their data? According to Syniti, only 5% of c-suite executive trust their enterprise data. If they recognise they have bad data, what steps can they take to improve their data strategy?
In this podcast, we explore some of the key themes that are holding companies back from implementing a strong data strategy. Kevin Campbell, CEO of Syniti, reveals that only 23% have implemented a consistent and policy-aligned data strategy at scale across their organisations, but he also details the steps you need to take.
With facts, figures and high quality resources at hand, this podcast proves to be an essential guide for anyone who is currently dealing with the everlasting headache of bad data. After all, you might have the most expensive crane and forklifts on the market but if you are building a house made of sand, you should expect it to fall apart by the morning.
With the increase of cyber threats globally since the pandemic, conducting a cybersecurity risk assessment for your business is more important ever. Making your organisation compliant with cybersecurity measures is essential in the modern day but did you know that only 60% of organisations have a comprehensive cyber insurance policy to protect them from financial losses in the case of a cyber attack?
This number only becomes more concerning with the added fact that hospitality services are actually the most at risk. According to Arctic Wolf, "the hospitality industry has the lowest adoption rate of all industries surveyed with just 35% of respondents from this vertical claiming to have a comprehensive cyber insurance policy."
It asks the question, has the hospitality sector conducted a thorough cybersecurity risk assessment? Are they prepared for threats along the way and what is their backup plan if all else fails? The risk is simply too high to gamble on, particularly given the amount of customer information, revenue and credentials that can easily be exploited if so much as one threat penetrates their defenses.
Joining us in this podcast is Ian McShane, Field CTO at Arctic Wolf. Ian talks us through:
As we know, marketers are always looking for an edge, something that positions them above their peers. By embracing new technologies that enable conversations such as Chatbots, businesses can design a conversation flow and solicit more valuable information about customers' needs.
In this podcast, Jiaqi Pan, CEO and Co-Founder of Landbot, walks us through why conversation is critical for marketers. He begins by outlining the significant downsides of lead forms and how conversations can improve business processes and strengthen relationships with new leads. Also, he covers how chatbots can help to solicit more valuable information about a customer's needs. Finally, Jiaqi provides some use case examples of Landbot's no-code chatbot platform builder.
Hosting this episode of the EM360 Podcast is Torsten Volk, Managing Research Director at Enterprise Management Associates (EMA). Torsten speaks on how Kubernetes became a platform that brought developers and operators together with Grant Miller, CEO and Co-founder at Replicated. The two experts explore:
If you have been paying attention over the last few years, you will realise that cybersecurity is moving more towards an anticipatory approach, particularly with the advancements of managed detection and response software. Beyond this however, precautions now have to be interwoven into the very fabric of an organisation. Email protection is not enough; what we need is a comprehensive network throughout Microsoft 365 that establishes security precautions within Teams, SharePoint and OneDrive.
With the birth of the hybrid work environment, establishing security guidelines and implementing detection and response software throughout your team is essential. Organisations are now working throughout the cloud, which creates new attack vectors for adversaries. While productivity is up for organisations, it is also up for adversaries. Phishing scams and malware are now being tailor made for hybrid workers and the only solution is to invest in a more robust managed detection and response software.
In this podcast, we speak to Datto's CISO Ryan Weeks. Ryan walks us through the security gap in the public cloud and why it's causing deep problems for organisations, how to detect and respond to ransomware before it causes a problem for your organisation and how to build your first line of defence. This podcast is a must listen for anybody that works in a SME or startup; it's the ultimate guide for protection in the hybrid world.
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