Bridging the AI-Human Divide: AI as Your Operations Teammate
When viewed through the lens of collaboration rather than competition, AI should
free people to do what they are uniquely good at — creative problem-solving,
collaborating and using judgment to solve complex challenges. This
“human-in-the-loop” approach to AI can alleviate people from daily-grind tasks
that are time-consuming, repetitive, and often lead to burnout. Envision a
scenario where your AI teammate seamlessly integrates into your operational
workflows, becoming a trusted assistant who handles time-consuming tasks. This
teammate has a comprehensive understanding of your operations, understands the
contextual importance of data and can deliver that data exactly when needed in
the forms of metrics, graphs and recommended actions. Imagine an AI teammate
that collects and sorts a massive amount of data, producing concise summaries
for human analysis. Or AI that provides you with information that detects and
contextualizes incidents. As potent as AI is in dissecting vast data sets,
spotting patterns, and rendering contextual analysis, it’s still in its
infancy.
Chatbots in the future of customer service
Customers often feel like they must jump over hurdles, trying different phrase
combinations to explain what they need to get a rules-based chatbot — which is
typically defined with existing mapped-out responses — to understand their
request. Generative AI addresses this pain point, by continuously training and
optimising chatbots to deliver a far more sophisticated, personalised level of
customer support. Through conversational interactions, the technology can
provide intelligent support for faster issue resolution while increasing
self-solve rates to better streamline processes for the human agents. Generative
AI’s ability to formulate responses based on historical insights, such as past
behaviour and user profile problems, is a key differentiator for business
leaders looking to win customer loyalty. Considering the majority of
customers say it’s important organisations understand them, with 65 per
cent wanting agents to resolve problems easily, it’s an impossible demand to
meet without integrating intelligent solutions.
Treat generative AI like a burning platform and secure it now
“As generative AI proliferates over the next six to 12 months, experts expect
new intrusion attacks to exploit scale, speed, sophistication, and precision,
with constant new threats on the horizon,” wrote Chris McCurdy, worldwide vice
president & general manager with IBM Security in a blog about the study. For
network and security teams, challenges could include having to battle the large
volumes of spam and phishing emails generative AI can create; watching for
denial-of-service attacks by those large traffic volumes; and having to look for
new malware that is more difficult to detect and remove than traditional
malware. “When considering both likelihood and potential impact, autonomous
attacks launched in mass volume stand out as the greatest risk. However,
executives expect hackers faking or impersonating trusted users to have the
greatest impact on the business, followed closely by the creation of malicious
code,” McCurdy stated. There’s a disconnect between organizations’ understanding
of generative AI cybersecurity needs and their implementation of cybersecurity
measures, IBM found.
Technical debt has hindered UK innovation
With technical debt reaching an extreme tipping point, it is important to learn
from how we got here. As businesses are driven to provide better and more
customized solutions for their customers, they are competing for a limited pool
of developers who can help them navigate complex IT infrastructure and
operations. The research found that the two leading factors behind technical
debt were the high number of development languages, which makes it difficult to
maintain and upgrade systems, as well as steep turnover in development teams.
This results in new hires becoming responsible for platforms they did not create
and may not fully understand. Other significant factors include companies
accepting known defects in order to meet deadlines, and the presence of outdated
development languages and frameworks. As a result, businesses struggle to
maintain and rework critical systems. Over time, technical debt builds up and
compounds through thousands of seemingly small decisions, before becoming a
major problem preventing companies from investing in new innovations or
services.
How ChatGPT and other AI tools could disrupt scientific publishing
Many editors are concerned that generative AI could be used to more easily
produce fake but convincing articles. Companies that create and sell
manuscripts or authorship positions to researchers who want to boost their
publishing output, known as paper mills, could stand to profit. A spokesperson
for Science told Nature that LLMs such as ChatGPT could exacerbate the
paper-mill problem. One response to these concerns might be for some journals
to bolster their approaches to verify that authors are genuine and have done
the research they are submitting. “It’s going to be important for journals to
understand whether or not somebody actually did the thing they are claiming,”
says Wachter. At the publisher EMBO Press in Heidelberg, Germany, authors must
use only verifiable institutional e-mail addresses for submissions, and
editorial staff meet with authors and referees in video calls, says Bernd
Pulverer, head of scientific publications there. But he adds that research
institutions and funders also need to monitor the output of their staff and
grant recipients more closely.
Israel-Hamas conflict extends to cyberspace
There have also been cyberattacks targeting Palestine by an India-based
hacktivist group called Indian Cyber Force. The group has shown solidarity
with Israel in the current conflict and has taken responsibility for bringing
down the websites of Hamas, Palestine National Bank, Palestine Web Mail
Government Services, and Palestine Telecommunication Company. "Indian Cyber
Force has previously initiated several cyber campaigns in support of India.
Their previous targets include Bangladesh and Canada. It appears that
Bangladesh was targeted regarding their relationship with Pakistan,"
Flashpoint said in a report. ... India's open support for Israel in the
ongoing conflict has also dragged the country into this cyber warfare. Several
hacktivist groups objected to India's support for Israel in the current
conflict and its departure from a traditional neutral stance in the
Israel-Palestine conflict. Hacktivist group Ghosts of Palestine posted a
message on the Telegram channel claiming to target India. The message clearly
highlighted that the cause of the attacks was India's support for Israel.
How To Improve Your Data Pipeline Security Credit Score
What do we mean when discussing security tech debt in your data pipeline? This
refers to building a data pipeline that doesn't have the scalability to govern
data access or secure data confidently across all of your target databases.
This can take a couple of forms: - Data teams or line of business leaders are
so incentivized to get the data into the cloud for data insights that they
build a pipeline to move all of the data without regard to which data is
sensitive and should be governed according to privacy regulations. This lets
companies use the data, but it's the riskiest. - Security teams get wind of
this and slam the brakes on the data teams' plans to move data. Maybe data
teams can move the easy or safe data so they go forward without sensitive data
to keep the project moving. However, suppose they haven't identified all of
the places where sensitive data exists across their data sources. In that
case, the security team might decide it's safer to migrate nothing at all,
locking everything down under their existing security controls.
IT Leaders in Banking & Finance Prepare for Business in the Metaverse
Several banks are setting up lounges or virtual branches as an entry point to
the metaverse and using the space to establish a presence and nurture customer
relationships. Offering education, support, and advice on financial products
in the metaverse can enable financial services brands to engage Gen Z even as
VR banking matures. HSBC, for example, purchased virtual real estate in The
Sandbox to engage and connect with sports, e-sports, and gaming enthusiasts.
Is this the right idea? IT leaders attending The Future of Banking event had
mixed feelings regarding virtual banking services. They expressed skepticism
about the likelihood of adoption without a specific incarnation of virtual
offerings that fires the customer’s imagination. Banks will need to give
customers compelling reasons to go to the metaverse to complete actions they
can already do with mobile banking applications or develop actions they cannot
experience with mobile or web interfaces. The next biggest hurdle will be
understanding what that will look like across the industry.
TCS builds the first digital heart for a professional runner
A digital heart is a high-fidelity multiscale computational model of the
cardiac system. It enables insight into myocardium mechanisms, subcellular
mechanisms, electromechanical activation (generation and conduction of cardiac
electrical potential leading to cardiac muscle contraction), and hemodynamics
(valvular functions, chamber pressures, myocardial wall tension, and coronary
blood flow) on both the micro and macro scales. TCS creates a digital heart of
a number of data sets, including an MRI. With the data from an MRI alongside
various historical and speculative data sets, a functioning heart is modeled
in a virtual environment. By applying AI/ML and other analysis, users can see
the impact of different conditions and situations such as beginning a
long-term exercise program or effect of medication. After a digital twin of a
heart is created, researchers can go a step further and use 3D printing to
create a physical version of a heart. A 3D printed digital twin heart allows a
doctor to practice surgical techniques and test solutions such as new heart
valves or drugs without ever touching an actual body.
Keeping up with the demands of the cyber insurance market
While insurers are bringing new products to the market, they are increasingly
tightening the requirements for prospective and existing policy holders for
the cyber risks they underwrite, asking organizations to demonstrate a high
level of security preparedness to gain coverage. In this scenario, thorough
planning ahead of the application process ensures that organizations are in
the best position to get coverage and reap the benefits of their policy. So,
what are the priorities and the key security factors at play to ensure
organizations can improve their chances of qualifying? ... Additionally,
insurers pay close attention to incident response plans, anticipating a robust
strategy that aligns IT, security, and developers for a swift, effective
reaction to cyber threats. Devising thorough plans, with role checklists and
response measures, and organizing regular simulation exercises will enhance
organizations’ incident readiness and show insurers that they are genuinely
prepared. Finally, post-attack recovery plans also play a significant role in
coverage viability.
Quote for the day:
“Nobody talks of entrepreneurship as
survival, but that’s exactly what it is.” -- Anita Roddick
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